Macular enhancement display driving system and method

Abstract

The present application relates to the technical field of intelligent display and display driving, and provides a macular enhanced display driving system and method, the system comprising a display panel, a driving output unit, a display signal processing unit, a feedback signal acquisition unit and a feedback signal processing unit; the feedback signal acquisition unit is used for acquiring a feedback signal related to the eye fixation of a user and outputting the feedback signal to the feedback signal processing unit; the feedback signal processing unit is used for determining the pupil center position based on the feedback signal, and determining the macular projection range based on the pupil center position; the display signal processing unit is used for dividing the to-be-displayed picture into a fine display area and a non-fine display area based on the macular projection range, and generating corresponding driving data respectively; and the driving output unit is used for outputting the driving data to the display panel. The present application has the effect of improving the picture quality and comfort of the fixation area.

Description

Technical Field

[0001] This invention relates to the technical field of intelligent display and display driving, specifically to a macular enhancement display driving system and method. Background Technology

[0002] The human retina possesses higher visual resolution in the macula, particularly near the fovea, while peripheral vision exhibits relatively lower sensitivity to detail and color. Therefore, the industry has gradually developed a differentiated display or rendering approach based on the gaze point or gaze area. This involves providing higher resolution or refresh rates in the user's gaze area, while reducing resolution, refresh rate, or driver resource usage in non-gaze areas to decrease system bandwidth and power consumption and improve overall efficiency. One existing approach divides the display area into high-definition and low-definition regions on the display driver side based on the gaze point coordinates, employing different driving timings or strategies for each region to improve driver bandwidth utilization and reduce system load.

[0003] For example, the display device and display driving method disclosed in CN114935971B divides the display area of ​​the display panel into high-definition and low-definition areas, and uses different driving timing sequences for the high-definition and low-definition areas. It also combines image data compression or decompression processing to achieve intelligent display and alleviate the real-time rendering pressure on the playback system. The focus of this solution is that the display driver chip integrates eye-tracking image reception, image parsing, and image driving, and optimizes efficiency through area division and driving timing differences.

[0004] For example, CN112578564B discloses a virtual reality display device and method. A first display device displays the entire field of view image at a lower resolution and refresh rate, while a second display device displays the gaze area image at a higher resolution and refresh rate. A displacement mechanism moves the second display device along with the gaze point, and optical devices then direct two streams of light into the viewer's eye. This achieves high-quality dynamic display of only the gaze area image, avoiding unnecessary resource consumption and improving resource utilization. This solution leans towards optimizing the VR display architecture through the superposition of dual display devices and the displacement of the mechanism.

[0005] However, the aforementioned existing technologies still have room for improvement in the scenario of driving a macular enhancement display for a single display panel. Firstly, CN112578564B uses dual display devices and a displacement mechanism to achieve gaze area alignment. The system structure is complex and places higher demands on the precision of the mechanism's optical path superposition and long-term calibration stability. It is difficult to directly transfer to a display driving system that uses a single display panel for partitioned driving output. At the same time, the determination and alignment of its gaze area mainly serve the spatial position control of the second display device and do not establish a closed-loop link for driving data generation around the determination of the macular projection range and the generation of the region mask in the display panel coordinate system.

[0006] Secondly, although CN114935971B discloses the division of high-definition and low-definition regions based on foveation coordinates and the use of different driving timing sequences, its main technical focus is still on compression and decompression under foveation coordinate input and TCON-side driving timing difference control. The mapping of foveation-related parameters to the display panel coordinate system and the determination of the macula projection range by combining the set of eye optical parameters and the set of display geometric parameters are not its core development direction. At the same time, the suppression of the jump of the region boundary between consecutive frames requires more stabilization mechanisms such as time domain smoothing or hysteresis suppression, while existing solutions often do not provide a unified description of the stabilization strategy of the mask boundary for engineering implementation. In addition, for low-resource-occupancy driving under specific pixel array forms, such as pixel merging or sub-pixel merging driving with symmetrical pixel units as the smallest grouping primitives in non-fine display areas, sharing data driving nodes, or only enabling some sub-pixels and performing brightness compensation, the existing technology also lacks a systematic disclosure of foveation partitioning closed-loop coordination.

[0007] Therefore, existing technologies urgently need a display driving system and method for macular enhancement displays that can stably determine the pupil center position based on the acquisition of eye movement feedback signals and map it to the display panel coordinate system. Furthermore, it can combine the set of eye optical parameters and the set of display geometric parameters to determine the macular projection range, generate a region mask, and determine the boundary between the fine display area and the non-fine display area. At the same time, it can reduce boundary jumps through temporal smoothing or hysteresis suppression, and adopt a low-resource-occupancy driving strategy and necessary pixel subpixel merging and brightness compensation mechanisms in the non-fine display area. This can significantly reduce panel driving bandwidth and resource consumption and improve the overall system efficiency while ensuring the display experience of the user's gaze area. Summary of the Invention

[0008] The purpose of this invention is to address the aforementioned shortcomings by proposing a macular enhancement display driving system and method.

[0009] The present invention adopts the following technical solution: A macular enhancement display driving system includes a display panel, a driving output unit, a display signal processing unit, a feedback signal acquisition unit, and a feedback signal processing unit. The feedback signal acquisition unit acquires feedback signals related to the user's eye gaze and outputs them to the feedback signal processing unit. The feedback signal processing unit determines the pupil center position based on the feedback signals and determines the macular projection range based on the pupil center position. The display signal processing unit divides the image to be displayed into a fine display area and a non-fine display area based on the macular projection range and generates corresponding driving data for each. The driving output unit outputs the driving data to the display panel so that the fine display area is displayed in a preset high-precision driving mode, and the non-fine display area is displayed in a preset low-resource-occupancy driving mode.

[0010] Optionally, the feedback signal acquisition unit includes an eye-tracking acquisition component, which includes at least one of the following: an infrared imaging component, a visible light imaging component, a corneal reflection acquisition component, and a pupil boundary extraction component; the feedback signal is at least one of the following: a pupil image, corneal reflection features, a gaze direction vector, an eye movement trajectory, or gaze point coordinates.

[0011] Optionally, the feedback signal processing unit is used to map the pupil center position to the display panel coordinate system, and determine the macula projection range according to a preset set of eye optical parameters and a set of display geometric parameters; wherein, the set of eye optical parameters includes at least one: interpupillary distance parameter, visual axis and optical axis offset parameter, and distance parameter from the eyeball to the display surface; the set of display geometric parameters includes at least one: display panel size parameter, pixel density parameter, or field of view parameter.

[0012] Optionally, the display signal processing unit is used to generate a region mask based on the macular projection range, and determine the boundary between the fine display region and the non-fine display region according to the region mask; wherein, the boundary is a static threshold boundary or a dynamic boundary that changes with the pupil center position; and the display signal processing unit is used to perform temporal smoothing processing or hysteresis suppression processing on the pupil center position or the macular projection range to reduce the abrupt changes of the boundary between consecutive frames.

[0013] Optionally, the high-precision driving method includes at least one: full-color driving output at the maximum resolution of the display panel, driving output at a preset high refresh rate, or driving output at independent grayscale levels of sub-pixels; the low-resource-occupancy driving method includes at least one: grayscale consistent driving, low-resolution shared driving, or low refresh rate driving.

[0014] Optionally, when the non-fine display area uses the grayscale uniform driving, the display signal processing unit is used to set the same grayscale driving value for multiple sub-pixels of each pixel in the non-fine display area, so that the multiple sub-pixels are displayed with the same grayscale brightness; when the non-fine display area uses the low-resolution shared driving, the display signal processing unit is used to group multiple adjacent pixels in the non-fine display area and set the same RGB driving value for multiple pixels in the same group.

[0015] Optionally, the pixel array of the display panel includes a plurality of symmetrical pixel units, each of the symmetrical pixel units comprising a plurality of sub-pixels extending along six directions, and the display signal processing unit is used to perform pixel merging or sub-pixel merging driving in the non-fine display area using the symmetrical pixel units as the minimum grouping primitives to form a spatially periodically repeating grouping driving map.

[0016] Optionally, the pixel merging or subpixel merging drive includes at least one of the following: configuring at least three subpixels in the same group to share the same data driving node, or configuring at least three subpixels in the same group to enable only one subpixel and increase the driving level of the corresponding subpixel to achieve preset brightness compensation; wherein the preset brightness compensation is determined based on a preset grayscale mapping table or brightness compensation coefficient, so that the enabled subpixel achieves target brightness or target grayscale consistency in the non-fine display area.

[0017] A method for driving a macular enhancement display, applied to a macular enhancement display driving system as described in any of the preceding claims, comprising: S1, Collect feedback signals related to the user's eye gaze and output them to the feedback signal processing unit; S2, determine the pupil center position based on the feedback signal, and determine the macular projection range based on the pupil center position; S3, based on the macula projection range, divides the image to be displayed into a fine display area and a non-fine display area, and generates corresponding driving data for each. S4, output the driving data to the display panel so that the fine display area is displayed in a preset high-fine driving mode, and the non-fine display area is displayed in a preset low-resource-occupancy driving mode.

[0018] The beneficial effects achieved by this invention are: 1. By setting up a closed-loop link between the feedback signal acquisition unit, feedback signal processing unit, display signal processing unit, and drive output unit, and using the pupil center position to determine the macular projection range as the partitioning basis, the system can adaptively divide the fine display area and non-fine display area facing the macular sensitive region on a single display panel. This avoids the structural complexity and adaptation limitations caused by using only coarse-grained partitioning based on the gaze point coordinates or relying on multiple displays / mechanical structures to align the gaze area. Furthermore, by using a high-precision driving method for the fine display area and a low-resource-occupancy driving method for the non-fine display area, the limited driving bandwidth, refresh rate, and computing resources can be concentrated on the user's primary gaze sensitive area, while reducing driving resource consumption in the surrounding areas. This reduces overall bandwidth and power consumption, alleviates thermal load, and improves battery life and system efficiency while ensuring image quality and comfort in the gaze area.

[0019] 2. By specifically defining the feedback signal acquisition unit as including at least one of an infrared imaging component, a visible light imaging component, a corneal reflection acquisition component, and a pupil boundary extraction component, and allowing the feedback signal to be output in multiple forms such as pupil images, corneal reflection features, gaze direction vectors, eye movement trajectories, or gaze point coordinates, the system can obtain usable gaze-related information under different hardware configurations, different lighting environments, and different wearing states, thereby improving the robustness and engineering adaptability of feedback acquisition. Compared to the problems of occlusion sensitivity, low-light failure, or error amplification caused by a single signal source, this solution, through the optional configuration of multi-source feedback signals, provides a more stable data basis for determining the pupil center position and macular projection range, thereby reducing the probability of misjudgment of partitions and boundary drift.

[0020] 3. By mapping the pupil center position to the display panel coordinate system and combining the set of eye optical parameters and the set of display geometric parameters to determine the macula projection range, the zoning basis is elevated from an "abstract fixation point" to a "macula projection range with physical meaning under the panel coordinate system." This solves the problem of inconsistency between the fixation coordinates and the panel driving coordinates, making it difficult to form a unified and implementable zoning object on the driving side. Furthermore, by introducing eye optical factors such as interpupillary distance, visual axis and optical axis offset parameters, and eye-to-display surface distance parameters, as well as display geometric factors such as panel size, pixel density, and field of view, the rationality and calibrability of the macula projection range can be maintained under different user individual differences, different panel specifications, and different optical systems. This improves the zoning positioning accuracy and reduces defects such as fixation area offset and insufficient coverage of the clear area caused by individual differences or device differences.

[0021] 4. By generating a region mask based on the macular projection range and using the region mask to determine the boundary between fine and non-fine display areas, the partitioning results possess a "masked expression" that can directly drive data generation and output. This further solidifies the "rendering / compression side" biased region division into a region control object that can be executed on the driving side. By supporting two modes—static threshold boundary and dynamic boundary that changes with the pupil center position—it can meet the needs of low-complexity steady-state applications and high-following scenarios, respectively. More importantly, by performing temporal smoothing or hysteresis suppression processing on the pupil center position or macular projection range, it can significantly reduce the visual discomfort caused by boundary flicker, sudden changes in local brightness, and frequent region switching caused by continuous inter-frame boundary jumps. This compensates for the shortcomings of insufficient disclosure of boundary stabilization mechanisms and the easy occurrence of "jitter / flicker / frequent switching" in engineering implementation, and forms a controllable trade-off between stability and followability.

[0022] 5. By refining the high-precision driving method into at least one of maximum resolution full-color driving, high refresh rate driving, or sub-pixel independent grayscale output driving, and refining the low-resource-consistent driving method into at least one of grayscale-consistent driving, low-resolution-sharing driving, or low refresh rate driving, the system can select the most suitable partition driving strategy based on resource budget, power consumption constraints, and content characteristics. This solves the problem of a single driving strategy after partitioning, making it difficult to stably balance image quality and power consumption in different scenarios. This limitation also makes "partitioning" and "driving method" form a one-to-one corresponding implementable interface: the fine area can achieve image quality enhancement by increasing resolution / refresh rate / grayscale accuracy, while the non-fine area can achieve resource reduction by reducing resolution sharing / grayscale consistency / refresh rate, thereby improving the configurability and mass production adaptability of the driving link.

[0023] 6. When a consistent grayscale driving method is used in non-fine display areas, by setting the same grayscale driving value for multiple sub-pixels of each pixel, a stable grayscale image can be output in non-fine areas with lower computational and transmission complexity. This reduces bandwidth / computing power consumption caused by the independent processing of details and color components in surrounding areas, and reduces the risk of color flicker at the boundaries. When a low-resolution shared driving method is used in non-fine display areas, by grouping multiple adjacent pixels and setting the same RGB driving value for multiple pixels in the same group, the amount of driving data and update frequency requirements can be significantly reduced without changing the panel hardware structure. This alleviates the bandwidth pressure on the driving interface and reduces the load on the driving output unit. These two specific implementation paths bring the "low-resource-consumption driving method" to directly executable driving data generation rules, avoiding the deficiency of merely staying at the "low-definition / high-definition" concept level without implementing driving rules.

[0024] 7. By defining the display panel pixel array as containing multiple symmetrical pixel units, each of which contains multiple sub-pixels extending along six directions, and using these symmetrical pixel units as the minimum grouping primitives to perform pixel merging or sub-pixel merging in non-fine display areas, a more geometrically balanced grouping topology and spatially repeating structure can be formed on the panel side. This reduces directional artifacts and jagged edges when reducing resolution or merging, improving spatial continuity and visual uniformity in non-fine areas. Furthermore, the "spatially periodically repeating grouping drive diagram" makes the drive organization regular and pre-defined, facilitating hardware addressing, trace reuse, and drive timing design, thereby enhancing engineering feasibility and mass production consistency, and compensating for the lack of panel-side grouping primitives and drive organization mechanisms in specific pixel array configurations.

[0025] 8. Two types of subpixel merging / pixel merging driving paths are provided: First, configuring at least three subpixels in the same group to share the same data driving node directly reduces the number of independent driving nodes and data writes, thereby reducing driving channel resource consumption and driving power consumption. Second, configuring at least three subpixels in the same group to enable only one subpixel and increasing the driving level of that subpixel to achieve preset brightness compensation can further reduce the number of effectively lit subpixels while ensuring that non-fine areas achieve target brightness or target grayscale consistency through grayscale mapping tables or brightness compensation coefficients, thus avoiding the darkening, grayscale inconsistency, and boundary brightness abruptness problems commonly encountered after reducing the number of subpixels. This solution further implements "low resource consumption driving" at three levels: "data driving node reuse / reduction of lit subpixel number / closed-loop compensation mechanism," ensuring controllable visual consistency in resource reduction of non-fine areas, forming a more complete engineering closed loop, and improving the feasibility and resistance to questioning of the patented solution.

[0026] To further understand the features and technical content of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are for reference and illustration only and are not intended to limit the present invention. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a schematic diagram of the method flow of a macular enhancement display driving method according to the present invention; Figure 3 This is a schematic diagram of the extraction process for pupil center extraction in this invention; Figure 4 This is a schematic diagram of the eye-tracking coordinate mapping in this invention; Figure 5This is a statistical diagram of boundary jitter under adaptive smoothing and hysteresis suppression conditions in another embodiment of the present invention. Detailed Implementation

[0028] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of the present invention. Furthermore, the accompanying drawings of the present invention are for simple illustrative purposes only and are not depictions of actual dimensions; this is stated in advance. The following embodiments will further describe the relevant technical content of the present invention in detail, but the disclosed content is not intended to limit the scope of protection of the present invention.

[0029] Example 1: This example provides a macular enhancement display driving system. Combined with... Figure 1 As shown, a macular enhancement display driving system includes a display panel, a driving output unit, a display signal processing unit, a feedback signal acquisition unit, and a feedback signal processing unit. The feedback signal acquisition unit acquires feedback signals related to the user's eye gaze and outputs them to the feedback signal processing unit. The feedback signal processing unit determines the pupil center position based on the feedback signals and determines the macular projection range based on the pupil center position. The display signal processing unit divides the image to be displayed into a fine display area and a non-fine display area based on the macular projection range and generates corresponding driving data for each. The driving output unit outputs the driving data to the display panel so that the fine display area is displayed in a preset high-precision driving mode, and the non-fine display area is displayed in a preset low-resource-occupancy driving mode.

[0030] Optionally, the feedback signal acquisition unit includes an eye-tracking acquisition component, which includes at least one of the following: an infrared imaging component, a visible light imaging component, a corneal reflection acquisition component, and a pupil boundary extraction component; the feedback signal is at least one of the following: a pupil image, corneal reflection features, a gaze direction vector, an eye movement trajectory, or gaze point coordinates.

[0031] Optionally, the feedback signal processing unit is used to map the pupil center position to the display panel coordinate system, and determine the macula projection range according to a preset set of eye optical parameters and a set of display geometric parameters; wherein, the set of eye optical parameters includes at least one: interpupillary distance parameter, visual axis and optical axis offset parameter, and distance parameter from the eyeball to the display surface; the set of display geometric parameters includes at least one: display panel size parameter, pixel density parameter, or field of view parameter.

[0032] Optionally, the display signal processing unit is used to generate a region mask based on the macular projection range, and determine the boundary between the fine display region and the non-fine display region according to the region mask; wherein, the boundary is a static threshold boundary or a dynamic boundary that changes with the pupil center position; and the display signal processing unit is used to perform temporal smoothing processing or hysteresis suppression processing on the pupil center position or the macular projection range to reduce the abrupt changes of the boundary between consecutive frames.

[0033] Optionally, the high-precision driving method includes at least one: full-color driving output at the maximum resolution of the display panel, driving output at a preset high refresh rate, or driving output at independent grayscale levels of sub-pixels; the low-resource-occupancy driving method includes at least one: grayscale consistent driving, low-resolution shared driving, or low refresh rate driving.

[0034] Optionally, when the non-fine display area uses the grayscale uniform driving, the display signal processing unit is used to set the same grayscale driving value for multiple sub-pixels of each pixel in the non-fine display area, so that the multiple sub-pixels are displayed with the same grayscale brightness; when the non-fine display area uses the low-resolution shared driving, the display signal processing unit is used to group multiple adjacent pixels in the non-fine display area and set the same RGB driving value for multiple pixels in the same group.

[0035] Optionally, the pixel array of the display panel includes a plurality of symmetrical pixel units, each of the symmetrical pixel units comprising a plurality of sub-pixels extending along six directions, and the display signal processing unit is used to perform pixel merging or sub-pixel merging driving in the non-fine display area using the symmetrical pixel units as the minimum grouping primitives to form a spatially periodically repeating grouping driving map.

[0036] Optionally, the pixel merging or subpixel merging drive includes at least one of the following: configuring at least three subpixels in the same group to share the same data driving node, or configuring at least three subpixels in the same group to enable only one subpixel and increase the driving level of the corresponding subpixel to achieve preset brightness compensation; wherein the preset brightness compensation is determined based on a preset grayscale mapping table or brightness compensation coefficient, so that the enabled subpixel achieves target brightness or target grayscale consistency in the non-fine display area.

[0037] This embodiment provides a macular enhancement display driving system and its supporting method, applicable to active matrix display scenarios in near-eye display devices. The system consists of a display panel, a driving output unit, a display signal processing unit, a feedback signal acquisition unit, and a feedback signal processing unit. During operation, the feedback signal acquisition unit acquires feedback signals related to the user's eye gaze and outputs them to the feedback signal processing unit. The feedback signal processing unit determines the pupil center position based on the feedback signals and determines the macular projection range based on the pupil center position. The display signal processing unit divides the image to be displayed into a fine display area and a non-fine display area based on the macular projection range and generates corresponding driving data for each. The driving output unit outputs the driving data to the display panel, enabling the fine display area to be displayed in a high-precision driving mode and the non-fine display area to be displayed in a low-resource-consumption driving mode. This reduces the driving channel, bandwidth, and power consumption without significantly affecting the viewing experience, or enhances the clarity near the macula under the same system resource conditions.

[0038] The feedback signal acquisition unit may include an eye-tracking acquisition component, which may employ at least one of an infrared imaging component, a visible light imaging component, a corneal reflection acquisition component, or a pupil boundary extraction component. The feedback signal is output as at least one of the following: pupil image, corneal reflection characteristics, gaze direction vector, eye movement trajectory, or gaze point coordinates. The feedback signal acquisition unit can be implemented either within the display panel or using an external sensor. It can complete feedback acquisition during display blank periods or low-sensitivity area scanning periods to minimize impact on the visible image.

[0039] The feedback signal processing unit maps the pupil center position to the display panel coordinate system and determines the macula projection range based on a preset set of eye optical parameters and a set of display geometric parameters. The set of eye optical parameters may include at least one of interpupillary distance parameters, visual axis and optical axis offset parameters, and distance parameters from the eyeball to the display surface. The set of display geometric parameters may include at least one of display panel size parameters, pixel density parameters, or field of view parameters. The macula projection range can be represented by a circle, ellipse, polygon, or grid set to facilitate subsequent region mask generation and partition driving data generation. The feedback signal processing unit can also output a confidence index or stability index to control the partition update frequency and boundary stability strength, increasing boundary stability when eye movements are intense or confidence decreases, and improving macula tracking accuracy when feedback is stable.

[0040] The display signal processing unit generates a region mask based on the macular projection range and determines the boundary between the fine display area and the non-fine display area according to the region mask. The boundary can be a static threshold boundary or a dynamic boundary that changes with the pupil center position. The display signal processing unit can perform temporal smoothing or hysteresis suppression processing on the pupil center position or the macular projection range to reduce boundary jumps between consecutive frames, and can generate transition bands at the boundaries to gradually change the resolution, refresh rate, or color strategy, reducing boundary flicker and abrupt changes.

[0041] High-resolution driving methods can include full-color driving that outputs at the maximum resolution of the display panel, driving that outputs at a preset high refresh rate, or driving that outputs at independent grayscale levels for each subpixel. Low-resource-consumption driving methods can include grayscale-consistent driving, low-resolution shared driving, or low refresh rate driving. When grayscale-consistent driving is used in non-resolution display areas, the display signal processing unit sets the same grayscale driving value for multiple subpixels of each pixel in the non-resolution display area, so that multiple subpixels are displayed with the same grayscale brightness, thereby forming a grayscale image. When low-resolution shared driving is used in non-resolution display areas, multiple adjacent pixels in the non-resolution display area are grouped, and the same RGB driving data is set for multiple pixels in the same group, in order to reduce data bandwidth and driving channel requirements.

[0042] The pixel array of the display panel may include multiple symmetrical pixel units. Each symmetrical pixel unit contains multiple sub-pixels extending in six directions. Using the symmetrical pixel unit as the smallest grouping unit, pixel merging or sub-pixel merging is performed in non-fine display areas to form a spatially periodically repeating grouping driving map. The hexagonal symmetrical unit has translational symmetry. One symmetrical pixel unit can contain 6 sub-pixels and is equivalent to 3 pixels. It can form effective pixels in multi-directional expansion, improve the display effect difference of diagonal lines, and thus maintain good spatial continuity when using resolution reduction or grayscale consistency driving strategies in non-fine display areas.

[0043] Pixel merging or subpixel merging can include configuring at least three subpixels within the same group to share the same data driving node, or configuring at least three subpixels within the same group to enable only one subpixel and increase the driving level of that subpixel to achieve preset brightness compensation. The preset brightness compensation can be determined based on a preset grayscale mapping table or brightness compensation coefficient, enabling the enabled subpixel to achieve target brightness or target grayscale consistency in non-fine display areas. It can also be linked to the stability or reliability index output by the feedback signal processing unit. When stability is low, the hysteresis suppression processing intensity is increased and the transition band is widened; when stability is high, the hysteresis suppression processing intensity is reduced to improve tracking accuracy. Simultaneously, brightness and grayscale consistency compensation is performed near the boundaries to reduce abrupt changes.

[0044] The display panel may include a sub-pixel driving circuit, which is a 2T1C structure and includes a light-emitting device, a first thin-film transistor (TFT), a second TFT, and a storage capacitor. The control terminal of the first TFT is connected to the scan signal line. The second TFT is used to write the data voltage into the storage capacitor and drive the light-emitting device when the first TFT is turned on. The drive output unit is used to provide the data voltage corresponding to the grayscale and the gate voltage corresponding to the scan timing. The common terminal is the common potential terminal of the display panel, which is preferably implemented as a shared electrode to simplify the wiring. In the hexagonal pixel wiring structure, the scan signal line, data signal line, and power line can be distributed at approximately a 120-degree angle to adapt to the hexagonal array topology. The switching state of the TFT is controlled by the off-state and on-state levels of the gate voltage, and the display brightness is controlled by the mapping between the data voltage and the grayscale.

[0045] Without affecting the aforementioned zonal driving and driving data generation logic for the magnifying glass projection range, the color resist and black matrix structure of the display panel can be optionally optimized in terms of process configuration. This allows the color resist layers of adjacent pixels to be divided from the same piece of color resist, thereby reducing the alignment accuracy requirements of the color resist layers and improving pixel light efficiency. Furthermore, optimizing the width and layout of the black matrix can improve the aperture ratio and flatness. Simultaneously, adjusting the layout of data signal lines within the black matrix can reduce the risk of light leakage and crosstalk. This implementation can serve as a preferred branch of the manufacturing process, used to improve mass production stability in application scenarios that emphasize yield and process window.

[0046] The corresponding method includes collecting feedback signals related to the user's eye gaze, determining the pupil center position and the macula projection range based on the feedback signals, dividing the image to be displayed into a fine display area and a non-fine display area based on the macula projection range, generating high-precision driving data for the fine display area and low-resource-occupancy driving data for the non-fine display area, and outputting the high-precision driving data and low-resource-occupancy driving data to the display panel so that the fine display area is displayed in a high-precision driving mode and the non-fine display area is displayed in a low-resource-occupancy driving mode.

[0047] By combining the system structure and partitioned driving process described in this embodiment, differentiated driving of fine and non-fine display areas based on the macula projection range can be achieved in near-eye display scenarios. This effectively reduces the resource consumption of the display driving link while ensuring the image quality of the user's primary viewing area. Specifically, the feedback signal acquisition unit continuously acquires feedback signals related to the user's eye gaze. The feedback signal processing unit determines the pupil center position and obtains the macula projection range based on these signals. The display signal processing unit further generates a region mask based on the macula projection range and divides the fine and non-fine display areas. This allows the system to concentrate high-precision driving on the macula-sensitive area and apply low-resource-consumption driving to the non-sensitive area. This reduces the demand for driving channels, data bandwidth, and computational load in the non-fine display area, thereby reducing power consumption and thermal load, and improving battery life and wearing comfort.

[0048] Meanwhile, this embodiment introduces time-domain smoothing and hysteresis suppression processing into the display signal processing unit, and sets a transition band at the boundary to ensure the temporal continuity of the boundary update between the fine display area and the non-fine display area. This suppresses frequent boundary jumps caused by minute eye movements, acquisition noise, or slight wearer displacement, thereby reducing visual interference caused by boundary flicker, sudden changes in local brightness, and frequent area switching, and improving display stability and user comfort. By outputting a reliability index or stability index and linking it with the boundary stabilization strategy, the boundary stabilization strength can be automatically enhanced when the feedback signal quality deteriorates, and the tracking response can be improved when the feedback signal is stable, achieving a more reasonable trade-off between stability and tracking performance.

[0049] Furthermore, when using uniform grayscale driving or low-resolution shared driving in non-fine display areas, by setting the same grayscale driving value for multiple sub-pixels or grouping adjacent pixels with the same RGB driving data, the display output of non-fine display areas can be completed with a lower amount of driving data. This allows the display link to achieve acceptable visual effects in non-sensitive areas with fewer resources. Combined with the implementation of using hexagonal symmetrical pixel units in the pixel array, more balanced effective pixels can be formed under multi-directional expansion, thereby improving the difference in display effects of diagonal lines. This allows non-fine display areas to still have good spatial continuity and image consistency under conditions of reduced resolution or uniform grayscale driving, further reducing visual breaks and graininess.

[0050] Furthermore, in implementations that combine subpixels or enable only some subpixels, by pre-setting brightness compensation and using a grayscale mapping table or brightness compensation coefficient, the target brightness or target grayscale consistency can be maintained while reducing the number of subpixel drivers and driving power consumption in non-fine display areas. This reduces darkening in non-fine display areas and brightness differences at the boundary with fine display areas. Combined with a 2T1C subpixel driver circuit structure and a shared electrode routing method for the common terminal, pixel driving implementation and wiring complexity can be simplified while satisfying grayscale driving and scanning timing control, improving the engineering feasibility and mass production stability of the display panel.

[0051] Optionally, by optimizing the configuration of the color resist and black matrix structure, the alignment accuracy requirements of the color resist layer can be reduced and the pixel light efficiency can be improved. At the same time, the aperture ratio and flatness can be improved by optimizing the black matrix layout, and the risk of light leakage and crosstalk can be reduced by coordinating the layout relationship of the data signal lines. Thus, without affecting the zonal driving and driving data generation logic of the yellow spot projection range, the manufacturing process window and yield of the display panel can be improved, and the stability and consistency of the solution can be enhanced when it is industrialized.

[0052] A method for driving a macular enhancement display, applied to a macular enhancement display driving system as described in any of the preceding claims, combined with... Figure 2 As shown, it includes: S1, Collect feedback signals related to the user's eye gaze and output them to the feedback signal processing unit; S2, determine the pupil center position based on the feedback signal, and determine the macular projection range based on the pupil center position; S3, based on the macula projection range, divides the image to be displayed into a fine display area and a non-fine display area, and generates corresponding driving data for each. S4, output the driving data to the display panel so that the fine display area is displayed in a preset high-fine driving mode, and the non-fine display area is displayed in a preset low-resource-occupancy driving mode.

[0053] Example 2: This example includes all the content of Example 1, providing a macular enhancement display driving system. Combined with... Figure 3 , Figure 4 and Figure 5This embodiment provides a set of interpretable and implementable calculation formulas to convert feedback signals into pupil center position and macular projection range. Based on this, it achieves stable boundary updates between the fine display area and the non-fine display area, as well as brightness compensation and grayscale mapping when sub-pixels in the non-fine display area are merged. The formula system consists of geometric mapping, temporal smoothing and hysteresis, and reversible mapping of the display electro-optic response. The system performs sampling and calculation on a frame-by-frame basis, outputting compensation driving data including pupil center position, macular projection range, region mask boundary, and non-fine display area, thereby forming a closed-loop driving control.

[0054] This set of formulas is used to determine the pupil center position and calculate the macular projection range. The logic behind this is to first transform the eye movement or pupil observations in the sensor coordinate system to the display panel coordinate system, and then project the angular range of the macular region in the field of view into a two-dimensional range on the panel. To improve engineering robustness, slip correction parameters are introduced in addition to the basic geometric relationships to resist systematic shifts caused by wearing slippage. Temperature and ambient light coupling correction parameters are also introduced to resist changes in the subjective sensitive area caused by panel electro-optical characteristic drift and pupil diameter variations.

[0055] Pupil center position mapping uses affine projection with a slip correction term: ; in: ; ; The pupil center observation coordinates are output by the feedback signal acquisition unit, with the unit being imaging pixels or normalized coordinates. The acquisition method is to extract the center point after performing boundary fitting or ellipse fitting on the pupil image. The horizontal and vertical pixel counts represent the resolution of eye-tracking imaging. To map the pupil center position to the display panel coordinate system, it is preferable to uniformly represent it as panel pixel coordinates. This refers to the number of horizontal and vertical pixels on the display panel.

[0056] It is a 3×3 mapping matrix. The method of obtaining it is to perform multi-point gaze calibration when the device is manufactured or worn for the first time. The target coordinates are the panel coordinate system and the source coordinates are the imaging coordinate system. The result is obtained by least squares fitting. The number of calibration points is preferably no less than 5. The calibration results are stored in the calibration parameter table for subsequent use.

[0057] This represents the head-mounted display slippage in mm, which can be estimated using methods such as wearing contact pressure sensing, nose pad displacement sensing, or a combined estimation based on the IMU and the geometric relationship of the wearing structure. If the device is not equipped with slippage estimation sensors, then [the following setting is used]. And coordinate mapping is completed using only H.

[0058] The glide direction angle, in rad, is defined as the direction angle relative to the positive x-axis of the panel coordinate system, with counterclockwise being the positive direction. It can be obtained by deriving the relationship between IMU attitude change and the geometric relationship of the wearing structure or by statistical analysis of gaze drift direction across multiple frames.

[0059] The macular projection range is described by an ellipse, with the center of the ellipse taken as... The major and minor axes of the ellipse are respectively ; ; in: ; The physical width and height of the panel are in mm. This is the pixel density conversion factor, in pixels per mm.

[0060] ; This is the distance from the eyeball to the display surface, in mm; The reference eye-screen distance is the one specified at the factory, in mm. This represents the offset estimated by the distance sensor, in mm, obtained via a structural distance sensor or a wearable distance estimation module; if there is no distance sensor, then... .

[0061] This is the range parameter for the macula angle, in rad, obtained by either a preset human eye model parameter or a user-defined calibration parameter.

[0062] ; The panel temperature is in °C and is obtained by sampling from a panel thermistor or temperature sensor. Temperature is the reference temperature, in °C. This is the temperature drift coefficient, in units of 1 / ℃. It is obtained by measuring subjective sharpness requirements or brightness thresholds at different panel temperatures and then... Obtained by linear fitting.

[0063] ; The ambient illuminance is expressed in lux and is obtained through sampling from an ambient light sensor. Pupil diameter, in mm. For reference pupil diameter, unit: mm; This is a proportionality coefficient, dimensionless or determined by a normalized definition, obtained by statistically analyzing and fitting changes in the subjectively sensitive area under different illumination levels. The pupil diameter in millimeters can be converted from the image pixel count. ; in The pupil diameter is the pixel length in the imaging coordinate system, in pixels. This is the pixel density conversion factor for the imaging system, expressed in pixels per mm, obtained from camera calibration.

[0064] based on Generate region mask set : ; in These are the panel pixel coordinates. The region mask is used as follows: ; The display signal processing unit outputs high-precision driving data for the fine display area and low-resource-occupancy driving data for the non-fine display area, and can further generate transition band masks in the boundary neighborhood for gradient processing.

[0065] How to use the first set of formulas above: ; ; ; in and Used to generate region masks and serve as the basis for subsequent boundary stabilization and compensation calculations.

[0066] The following set of formulas is used for boundary-stabilized temporal smoothing and hysteresis suppression. The logic is as follows: first, smooth the pupil center position and the macular projection axis to reduce acquisition noise and high-frequency jitter caused by minute eye movements; then, control the update triggering of the mask boundary using the hysteresis criterion to avoid frequent boundary jumps. To ensure the smoothing intensity can interpretably adapt to different vibration and battery states, vibration intensity and battery state of charge are introduced as adjustment parameters; to suppress transient errors caused by blinking, eyelid opening / closing degree is introduced as a threshold adjustment parameter.

[0067] Exponential smoothing: ; ; in For frame number, The center position and the length of the ellipse are the smoothed center position and the ellipse axis. The initial values ​​during the system startup phase are: ; Adaptive smoothing coefficient: ; in: ; It is a dimensionless limiting parameter. To provide feedback on reliability indicators, the methods of obtaining them include at least one or a combination of pupil fitting residuals, corneal reflex matching quality, and fixation point stability. The vibration intensity of the equipment is expressed in m / s², and is obtained by calculating the root mean square of the triaxial acceleration of the IMU within a sliding window. The battery state of charge is obtained by reading the power management unit. The dimensionless weighting coefficients are obtained by statistically analyzing the number of boundary jumps and following delays under different vibration and electrical states, and then performing offline fitting. (Introduction) This is used to appropriately enhance smoothing under low power strategy to reduce update frequency and computational load, so as to coordinate boundary stability and low resource consumption driving strategy.

[0068] Lag Criterion: ; in The initial value is the center position of the most recently used region mask generation. ; The update logic for separating the entry threshold and exit threshold is as follows: ; ; in Units and Consistency, preferably pixels. Lag hold frame count: ; in The lag hold time is expressed in seconds (s). Refresh rate, in Hz.

[0069] Threshold adaptive introduction of eyelid opening and closing: ; in The baseline threshold is expressed in pixels. and Dimensionless calibration parameters and satisfy ; The degree of eyelid opening is defined as: ; in This represents the current pixel value of the eye fissure height. For reference, the pixel value of the eye fissure height is used. (Introduced) This is used to increase the entry threshold during blinking or half-closing of the eyes to suppress boundary jumps caused by transient errors. Parameters The boundary blink count and response delay were statistically analyzed and optimized offline to determine the optimal response time.

[0070] How to use the second set of formulas above: ; ; ; And based on this A stable region mask is generated for partition-driven data generation.

[0071] The following set of formulas is used for brightness compensation and grayscale mapping when subpixels are merged in non-fine display areas. The logic is that when multiple subpixels share the same data driver node or only one subpixel is used to replace multiple subpixels, using the original driver data will lead to a decrease in brightness or inconsistency in grayscale, resulting in dark spots or abrupt boundary changes. Therefore, a reversible mapping relationship for the electro-optic response is established. The compensated data voltage or compensated grayscale code is calculated through compensation coefficients and inverse demapping, enabling the non-fine display area to achieve the target brightness or target grayscale consistency. To enhance long-term consistency, an aging factor is introduced; to enhance controllability under power supply fluctuations and content characteristics, power supply voltage drop estimation and content motion intensity are introduced.

[0072] Luminance response model: ; in Relative brightness or equivalent brightness; Data voltage, in volts (V); Equivalent threshold voltage, in V; Normalized reference voltage, unit: V; The gamma exponent is dimensionless and is obtained by panel grayscale curve fitting. Panel temperature, in °C; Ambient illuminance, in lux.

[0073] ; in This is a preset lookup function, obtained from factory calibration or online calibration.

[0074] ; in As an aging factor, The cumulative lighting time, in hours, is obtained from the driver output unit or the system timer. This is the default lookup function.

[0075] Target brightness and compensation coefficient: Assume that the original brightness should be... Each sub-pixel contributes to the target brightness, in actual use Each pixel lights up. Define the target brightness of a single subpixel after compensation. ; in It is a positive integer, and in typical cases, the merging of three sub-pixels in the non-fine region can be taken as... or .

[0076] ; The target brightness is derived from the original grayscale code. The brightness value corresponding to the current temperature, ambient light, and aging conditions. For ease of engineering implementation, a lookup table format for grayscale to brightness is introduced: ; in The grayscale-to-brightness mapping table can be preset and can be selected according to temperature and aging segments.

[0077] Compensation coefficient: ; in This is an estimated power supply voltage drop value in V, obtained by sampling VDD fluctuations from the drive output unit or readings from the power management unit and averaging them within a short window. The content-based motion intensity index is calculated as follows: ; in For the first The average value of each statistical block in the current frame for either the luminance or grayscale component. To count the number of blocks, This is the normalization constant. Parameter The dimensionless weights are obtained by measuring the subjective brightness error of the non-fine display area under different power supply voltage drops and content movement conditions and then fitting it offline.

[0078] Inverse solution of compensation data voltage and grayscale mapping: Inverse voltage domain solution: ; in The voltage after compensation is expressed in volts (V).

[0079] Gray-scale equivalent mapping: ; in The original grayscale code value, To compensate for grayscale code values, The grayscale equivalent index is dimensionless and is obtained by fitting the grayscale-to-brightness curve. ; Gray-scale limiting function: ; in This represents the maximum grayscale code value. The display signal processing unit can preferably use a lookup table method to achieve voltage domain inverse decoding or grayscale domain equivalent mapping, thereby reducing the real-time computation load.

[0080] How to use the formulas in the third group above: ; ; ; Application and Function Description: The system executes the following closed-loop process in each frame or every few frames. First, the pupil observation coordinates are obtained by the feedback signal acquisition unit. and credibility Indicators, combined with calibration matrix With slip correction parameters Calculate the pupil center position in the panel coordinate system. Then, combined with the distance between the eyes and the retina. Pixel density macula angle range and temperature correction Coupling correction with ambient light Calculate the length of the ellipse axis of the macular projection range Generate a set of region masks During the boundary stability phase, the system exhibits vibration intensity... Battery state of charge With credibility Adaptive determination of smoothing coefficient The smoothed center and axis lengths were obtained, and the hysteresis criterion was combined with the eyelid opening and closing degree. This determines whether to update the mask center to suppress high-frequency boundary jumps. Finally, in non-fine display areas, it determines the appropriate strategy based on pixel merging or subpixel merging. and combined with aging factors Power supply voltage drop With content movement intensity Calculate the compensation coefficient With target brightness Output compensation data voltage Or compensate grayscale This generates low-resource-consumption driving data. Through the linkage of the above three sets of formulas, the calculation of the macular projection range provides a basis for partitioning, adaptive smoothing and hysteresis ensure boundary stability, and brightness compensation and grayscale mapping ensure visual consistency and controllable power consumption in non-fine display areas, thereby realizing the overall closed loop of partitioning drive.

[0081] Through the coordinated configuration of the three sets of formulas described in this embodiment, the system can achieve interpretable closed-loop control of the macular enhancement display driver in the real operating environment of near-eye displays, and form a quantifiable engineering trade-off between clarity, stability, power consumption, and implementation complexity. First, the geometric formula system based on pupil center position mapping and macular projection range calculation gives the division between the fine display area and the non-fine display area a clear physical meaning and a reproducible experimental path. It can stably convert the pupil observation output by the feedback signal acquisition unit into the macular projection range in the panel coordinate system, thereby ensuring that the fine display area accurately covers the user's primary visual sensitive area and avoids partition offset caused by wearing slippage or calibration drift. By introducing slippage correction parameters and temperature and ambient light coupling correction factors, the system can still maintain the rationality of the macular projection range under complex conditions such as panel temperature drift, changes in ambient illuminance, and changes in pupil diameter. This makes the coverage of the fine display area independent of a fixed threshold, thereby improving the system's adaptability to actual wearing conditions and environmental changes, and reducing image quality fluctuations and user dizziness risks caused by external factors.

[0082] Secondly, the boundary stability formula system based on exponential smoothing and hysteresis criterion ensures the temporal continuity of partition boundaries even with minor eye movements, sampling noise, and head-mounted display vibrations, significantly reducing visual interference caused by boundary flicker, sudden changes in local brightness, and frequent region switching due to high-frequency boundary jumps. By incorporating reliability, vibration intensity, and battery state of charge into the smoothing coefficient adaptive mechanism, the system can automatically enhance smoothing and hysteresis when feedback quality is low or vibration is strong, prioritizing boundary stability; when feedback quality is high and device conditions allow, it improves response speed, prioritizing macular tracking accuracy, thus achieving a dynamic trade-off between stability and tracking performance. Simultaneously, through adaptive adjustment of the hysteresis threshold by eyelid opening and closing, false trigger updates can be suppressed in distortion-prone states such as blinking or half-closing, reducing partition jitter caused by transient occlusion and improving overall usability and reliability.

[0083] Furthermore, based on the brightness compensation and grayscale mapping formula system of electro-optic response reversible mapping, the non-fine display area can still achieve target brightness or target grayscale consistency when using low-resource-consuming strategies such as grayscale consistency driving, low-resolution shared driving, sub-pixel merging driving, or only enabling some sub-pixels. This significantly reduces darkening of non-fine areas, color gradation breaks, and brightness abrupt changes at the boundary with fine areas. By introducing parameters such as panel temperature factor, aging factor, power supply voltage drop estimation, and content motion intensity, the compensation strategy can cover brightness deviations caused by temperature drift, device aging, power supply fluctuations, and dynamic characteristics of content. This ensures that the compensation results are effective not only under new screen and steady-state power supply conditions but also maintain a consistent subjective visual effect under long-term use and complex content. Thus, without sacrificing the clarity of the macular region, the system can achieve controllable resource reduction in the non-fine display area, thereby reducing the demand for driving channels, data bandwidth, and computational load, and thus reducing power consumption and thermal load, improving battery life; or, under a fixed power budget, the saved resources can be used to improve the resolution, refresh rate, or grayscale accuracy of the fine display area, achieving performance improvement of the macular enhancement display.

[0084] The content disclosed above is only a preferred and feasible embodiment of the present invention, and is not intended to limit the scope of protection of the present invention. Therefore, all equivalent technical changes made based on the content of the present invention specification and drawings are included within the scope of protection of the present invention. Furthermore, the elements therein can be updated as technology develops.

Claims

1. A macular enhancement display driving system, characterized in that, The system includes a display panel, a drive output unit, a display signal processing unit, a feedback signal acquisition unit, and a feedback signal processing unit. The feedback signal acquisition unit acquires feedback signals related to the user's eye gaze and outputs them to the feedback signal processing unit. The feedback signal processing unit determines the pupil center position based on the feedback signals and determines the macular projection range based on the pupil center position. The display signal processing unit divides the image to be displayed into a fine display area and a non-fine display area based on the macular projection range and generates corresponding drive data for each. The drive output unit outputs the drive data to the display panel so that the fine display area is displayed in a preset high-precision drive mode, and the non-fine display area is displayed in a preset low-resource-occupancy drive mode.

2. The macular enhancement display driving system according to claim 1, characterized in that, The feedback signal acquisition unit includes an eye-tracking acquisition component, which includes at least one of the following: an infrared imaging component, a visible light imaging component, a corneal reflection acquisition component, and a pupil boundary extraction component. The feedback signal is at least one of the following: pupil image, corneal reflection features, gaze direction vector, eye movement trajectory, or gaze point coordinates.

3. The macular enhancement display driving system according to claim 1, characterized in that, The feedback signal processing unit is used to map the pupil center position to the display panel coordinate system, and determine the macula projection range according to a preset set of eye optical parameters and a set of display geometric parameters; wherein, the set of eye optical parameters includes at least one: interpupillary distance parameter, visual axis and optical axis offset parameter, and distance parameter from the eyeball to the display surface; the set of display geometric parameters includes at least one: display panel size parameter, pixel density parameter, or field of view parameter.

4. The macular enhancement display driving system according to claim 1, characterized in that, The display signal processing unit is used to generate a region mask based on the macular projection range, and determine the boundary between the fine display region and the non-fine display region according to the region mask; wherein, the boundary is a static threshold boundary or a dynamic boundary that changes with the pupil center position; and the display signal processing unit is used to perform time-domain smoothing or hysteresis suppression processing on the pupil center position or the macular projection range to reduce the abrupt changes of the boundary between consecutive frames.

5. The macular enhancement display driving system according to claim 1, characterized in that, The high-precision driving method includes at least one: full-color driving output at the maximum resolution of the display panel, driving output at a preset high refresh rate, or driving output at independent grayscale levels of sub-pixels; the low-resource-occupancy driving method includes at least one: grayscale consistent driving, low-resolution shared driving, or low refresh rate driving.

6. The macular enhancement display driving system according to claim 5, characterized in that, When the non-fine display area uses the grayscale uniform driving, the display signal processing unit is used to set the same grayscale driving value for multiple sub-pixels of each pixel in the non-fine display area, so that the multiple sub-pixels are displayed with the same grayscale brightness; when the non-fine display area uses the low-resolution shared driving, the display signal processing unit is used to group multiple adjacent pixels in the non-fine display area, and set the same RGB driving value for multiple pixels in the same group.

7. The macular enhancement display driving system according to claim 1, characterized in that, The pixel array of the display panel includes multiple symmetrical pixel units, each of which contains multiple sub-pixels extending along six directions. The display signal processing unit is used to perform pixel merging or sub-pixel merging driving in the non-fine display area using the symmetrical pixel units as the minimum grouping primitives to form a spatially periodically repeating grouping driving map.

8. A macular enhancement display driving system according to claim 7, characterized in that, The pixel merging or subpixel merging drive includes at least one of the following: configuring at least three subpixels in the same group to share the same data driving node, or configuring at least three subpixels in the same group to enable only one subpixel and increase the driving level of the corresponding subpixel to achieve preset brightness compensation; wherein the preset brightness compensation is determined based on a preset grayscale mapping table or brightness compensation coefficient, so that the enabled subpixel achieves target brightness or target grayscale consistency in the non-fine display area.

9. A method for driving a macular enhancement display, applied to a macular enhancement display driving system as described in any one of claims 1 to 8, characterized in that, include: S1, Collect feedback signals related to the user's eye gaze and output them to the feedback signal processing unit; S2, determine the pupil center position based on the feedback signal, and determine the macular projection range based on the pupil center position; S3, based on the macula projection range, divides the image to be displayed into a fine display area and a non-fine display area, and generates corresponding driving data for each. S4, output the driving data to the display panel so that the fine display area is displayed in a preset high-fine driving mode, and the non-fine display area is displayed in a preset low-resource-occupancy driving mode.

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