Field sequential display color separation suppression method and system based on human eye tracking

Abstract

The invention discloses a field sequential display color separation suppression method and system based on human eye tracking, and belongs to the technical field of display. The method comprises the following steps: acquiring a fixation point coordinate and an eyeball movement velocity vector of an observer in real time through an eye movement tracking device, and synchronously analyzing a sub-field time sequence signal of a display system; constructing a motion prediction model containing a system delay parameter, performing time domain extrapolation on an eyeball trajectory by using an algorithm, and accurately calculating a fixation point prediction position of each monochromatic sub-field at an actual lightening moment; on the basis of a retina imaging stabilization principle, taking the starting moment of the current frame as a reference anchor point to generate a reverse geometric translation compensation amount; the original image of each sub-field is reconstructed, and the displacement vacancy is eliminated in combination with the overscanning edge compensation technology. And finally, the display terminal is driven strictly according to the time sequence, so that the sub-field rays lightened at different time are projected to the same physical area of the retina to realize imaging superposition. According to the method, color separation artifacts are inhibited from a physical mechanism, and the visual quality is remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of display technology, and in particular to a field-sequence display color separation suppression method and system based on human eye tracking. Background Technology

[0002] In recent years, with the rapid development of augmented reality, virtual reality, and ultra-high-definition display technologies, display terminals are evolving towards ultra-high resolution and high luminous efficiency. Against this industry backdrop, traditional LCD technology, due to its spatial color mixing scheme, must rely on color filters and sub-pixel spatial segmentation to achieve full-color display. This results in significant light energy loss and makes it difficult to achieve high physical resolution in small sizes.

[0003] In contrast, field-sequential display technology completely eliminates the energy-consuming color filters, utilizing the persistence of vision in the human eye to rapidly alternate the display of red, green, and blue primary color subfields in the time domain. This mechanism brings two core advantages: first, extremely high luminous efficacy, making it ideal for display systems sensitive to brightness and power consumption; second, ultra-high physical resolution, as it eliminates the need to divide a pixel into three subpixels, resulting in a significantly higher resolution density for panels of the same size compared to traditional LCDs, enabling the presentation of more detailed images.

[0004] However, field-sequential display technology faces the challenge of color separation artifacts in applications. The mechanism is that when the observer's eye moves rapidly relative to the display terminal, due to the time integration effect, the red, green, and blue sub-field images displayed at different times cannot be projected onto the same physical location on the retina. This causes the brain to perceive separated color stripes at the edges of objects when synthesizing the image. This phenomenon not only severely damages image clarity and edge sharpness but also easily causes dizziness and visual fatigue in immersive scenarios.

[0005] To suppress color separation, the current mainstream solution in the industry is to continuously increase the sub-field refresh rate. For example, the sub-field frequency is increased from the conventional 180Hz to 360Hz or even higher, attempting to use extremely short time intervals to mask projection misalignment on the retina. However, this method of increasing the refresh rate is limited by the exponential growth of interface data bandwidth, placing extremely high demands on the data throughput capacity of the driver IC; on the other hand, LCD technology struggles to overcome the bottleneck of higher response rates; and the high-frequency charging and discharging of panel pixel capacitors leads to a surge in system dynamic power consumption, which runs counter to the urgent need for low power consumption and long battery life in mobile display systems.

[0006] Furthermore, existing software compensation algorithms (such as content-based motion estimation and compensation MEMC) primarily focus on the object motion vectors of the video source itself. These passive algorithms assume that the observer's gaze smoothly follows the image content, and therefore cannot cope with the unconscious, extremely rapid scanning behavior of the human eye. When the displayed image is static while the human eye scans rapidly, or when the direction of the human eye's movement is inconsistent with the direction of the image's movement, existing image content-based compensation algorithms often fail, leading to serious visual errors.

[0007] Therefore, there is an urgent need for an innovative technical solution that can actively sense the real-time motion state of the human eye, eliminate color separation from the physical imaging mechanism, and does not rely on extremely high hardware refresh rates and bandwidth costs, so as to break through the bottlenecks of power consumption and bandwidth of existing field sequence display technology while ensuring the subjective visual experience of the human eye. Summary of the Invention

[0008] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a method and system for suppressing color separation in field-sequence display based on human eye tracking, so as to solve the problem of severe color separation in existing field-sequence display technologies when the eyeball rotates rapidly.

[0009] This invention is achieved through the following technical solution:

[0010] A field-sequence display color separation suppression method based on human eye tracking includes the following steps:

[0011] Step S1: Use an eye-tracking device to collect real-time eye movement data of the observer relative to the display terminal. At the same time, acquire the timing control signal of the display system, determine the frame start time of the current display frame, and parse the predetermined lighting time of each monochromatic in the frame period on the time axis.

[0012] Step S2: Construct a motion prediction model that includes end-to-end delay parameters. Based on the eye movement data and motion prediction model at the current moment, use the prediction algorithm to extrapolate the eye movement trajectory in the time domain, calculate the actual lighting time of each subsequent monochromatic subfield, and determine the predicted position of the human eye's gaze point in the screen coordinate system.

[0013] Step S3: Based on the principle of retinal imaging stabilization, establish a retinal reference coordinate system; take the eye's gaze point at the start of the current frame as the reference anchor point, perform temporal revision according to the predetermined illumination time and the full-link delay parameters in S2, and calculate the relative motion vector of the predicted position of the human eye at the actual illumination time of each monochromatic subfield relative to the reference anchor point; based on the relative motion vector, generate image displacement compensation amounts with opposite directions and equal magnitudes to offset the influence of eye movement on the retinal imaging position;

[0014] Step S4: Based on the calculated image displacement compensation amount, perform reverse geometric translation processing on the corresponding original monochromatic subfield image data; for the non-integer pixel displacements generated by the translation, perform sub-pixel level resampling to generate reconstructed monochromatic subfield image data;

[0015] Step S5: Send the reconstructed monochromatic subfield image data into the display driver module, and drive the display terminal according to the timing control signal so that the monochromatic subfield light that is lit at different times can be projected onto the same physical area of ​​the observer's retina, so as to achieve the overlap of imaging positions.

[0016] Step S1 specifically includes: the eye movement data includes the gaze point coordinates and the eye movement velocity vector; configuring the sampling frequency of the eye tracking device to be higher than or equal to the field refresh rate of the display system to ensure that multiple eye movement sampling points are obtained within one display frame cycle; inputting the collected raw eye movement data into the processor for preprocessing, the preprocessing including mapping the coordinate system of the eye tracking device to the pixel coordinate system of the display terminal, and removing abnormal noise data caused by blinking or signal loss.

[0017] In step S2, the end-to-end delay parameter includes the total time consumed from eye movement data acquisition, data transmission, algorithm processing to the actual emission of light from the display terminal; the prediction algorithm includes prediction algorithms such as Kalman filtering and neural network-based prediction models; by establishing a state-space model that includes the eye position and velocity states, the optimal state estimate at the current moment is recursively calculated using the optimal state estimate from the previous moment and the observation at the current moment; using the optimal state estimate, combined with the end-to-end delay parameter, the eye movement trajectory is smoothed and extrapolated linearly or nonlinearly to future time points, thereby obtaining the predicted coordinates of the gaze point after eliminating jitter noise.

[0018] In step S2, the logic for determining the predicted position of the human eye fixation point in the screen coordinate system is as follows: First, determine the time span from the current data acquisition time to the actual emission time of the target monochromatic subfield. This time span is obtained by accumulating the subfield timing interval and the end-to-end delay parameter time. Then, multiply the eye movement velocity vector at the current time with the time span to obtain the predicted eye displacement increment. Finally, superimpose the eye displacement increment onto the fixation point position at the current time to obtain the predicted fixation point coordinates at the target subfield time.

[0019] In step S3, the calculation of the image displacement compensation amount follows the following logic: calculate the time difference between the illumination time of the target monochromatic subfield and the start time of the current frame; determine the relative displacement vector of the eyeball within the time difference based on the product of the eyeball motion velocity vector and the time difference; invert the relative displacement vector to obtain the image displacement compensation amount, so that the image translation direction is always opposite to the eyeball motion direction, and the translation distance is equal to the saccade distance of the eyeball in the corresponding time period.

[0020] In step S4, the reverse geometric translation process specifically includes: decomposing the calculated image displacement compensation amount into horizontal and vertical components, and further splitting the horizontal and vertical components into integer pixel parts and fractional pixel parts respectively; using the integer pixel parts to perform index offset on the storage address of the image matrix to achieve a coarse translation; using the fractional pixel parts as interpolation weights, employing bilinear interpolation or bicubic interpolation algorithms to perform weighted calculations on the grayscale values ​​of adjacent pixels to calculate the translated sub-pixel grayscale values, which are then used as the compensated monochromatic subfield image data.

[0021] Step S4 also includes an overscan edge compensation step, specifically: the rendering resolution of the original image source is pre-configured to be greater than the physical output resolution of the display terminal, and the image portion exceeding the physical display area is defined as an overscan buffer; when performing reverse geometric translation, when pixel gaps occur at the edge of the display area due to image movement, the corresponding image data in the overscan buffer is dynamically called to fill them, so as to maintain the integrity of the full-screen display.

[0022] The calculation of the image displacement compensation amount is independent of the motion vector of the video source content itself; regardless of whether the video source content is a static image or a dynamic video, the image displacement compensation amount is determined only by the observer's eye movement data and is used to offset the retinal imaging slippage caused by eye saccades.

[0023] A field-sequence display color separation suppression system based on human eye tracking, comprising:

[0024] The eye-tracking module is configured to capture the observer's eye movement features in real time at a high sampling rate and output a gaze coordinate stream containing timestamps and velocity information.

[0025] The timing control module is configured to generate a global timing reference for field sequence display and provides frame synchronization information and sub-field switching signals accurate to the microsecond level to each module;

[0026] The motion prediction and compensation processing module has a built-in prediction filtering unit and geometric transformation engine.

[0027] The predictive filtering unit is used to perform eye movement trajectory prediction; the geometric transformation engine is used to perform image displacement compensation calculation and sub-pixel resampling operation, and output the compensated subfield image data stream.

[0028] The field sequence display terminal is configured to receive the compensated image data stream and cycle-light up the red, green, and blue monochrome subfields in a strictly predetermined time sequence to complete the full-color image display.

[0029] The advantages of this invention are: by actively sensing and extrapolating the observer's eye movement state, this invention can generate precise physical displacement compensation for each monochromatic subfield, so that the primary color subfields displayed in the field sequence are spatially aligned on the retina, eliminating color separation from a physical mechanism and significantly improving visual quality.

[0030] This invention directly uses the observer's actual eye movement as the basis for compensation. It follows the principle of retinal imaging stabilization and uses reverse image displacement compensation to ensure that monochromatic subfield light rays that are lit at different times are accurately projected onto the same physical area of ​​the retina, thereby achieving active overlap of imaging positions and fundamentally solving the core cause of color separation in field sequence display.

[0031] This invention features a refined and high-fidelity technical design for the entire process from eye-tracking data acquisition to image-driven display, ensuring the accuracy of the compensation operation while avoiding new display defects during the compensation process.

[0032] This invention employs algorithms such as Kalman filtering and neural network prediction, combined with a state-space model that includes position and velocity, to perform recursive optimal state estimation. This not only smooths the eye movement trajectory and eliminates data jitter noise, but also enables accurate prediction of the gaze point at future moments through time-domain extrapolation. At the same time, the prediction model incorporates the total system link delay time, specifically correcting the timing error from data acquisition to screen illumination, ensuring that the prediction results perfectly match the eye position at the actual illumination moment.

[0033] This invention provides image displacement compensation and adds overscan edge compensation. By using an overscan buffer with a rendering resolution greater than the physical output resolution, it dynamically fills the pixel gaps caused by translation, ensuring the integrity of the full-screen display without defects such as black borders or missing images. Attached Figure Description

[0034] Figure 1 This is a flowchart of the working steps of the present invention. Detailed Implementation

[0035] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0036] like Figure 1As shown, a field-sequence display color separation suppression method based on human eye tracking includes the following steps:

[0037] Step S1: Use an eye-tracking device to collect real-time eye movement data of the observer relative to the display terminal. The data includes observed values ​​such as the coordinates of the fixation point and the eye movement velocity vector. Simultaneously, the timing control signal of the display system is acquired to determine the frame start time of the current display frame, and the predetermined lighting time of each monochromatic subfield in that frame period on the time axis is parsed. The timing control signal is directly or indirectly applied in all subsequent steps. The timing control signal is the time reference of the entire method, determining the start point of each frame and aligning the spatial coordinates acquired by the eye-tracking device with the time coordinates of the display terminal, which serves as the time basis for subsequent motion prediction.

[0038] In this embodiment, an eye-tracking device is used to track the user's viewpoint as they observe the current field-sequence display terminal in real time. To ensure the capture of the non-linear characteristics of the human eye during the scanning process, this embodiment uses a sampling frequency of 500Hz for the eye-tracking device. Since the display system's field refresh rate is 180Hz, it meets the sampling theorem requirement, meaning that the system obtains at least two sampling points within one display frame cycle to ensure the continuity of the motion trajectory.

[0039] Raw eye movement data collected First, the data is preprocessed by the processor to obtain the sensor coordinates of the eye-tracking device. Mapped to the display terminal pixel coordinate system :

[0040]

[0041] in, ( ), ( () represents the calibration coefficient. Mapped gaze coordinates. This corresponds to a specific pixel position within the range of the screen's physical resolution.

[0042] The system monitors the Euclidean distance between adjacent sampling points in real time. .like (in If the maximum physiological speed of human eye saccades is used, then the sampling point is determined to be an abnormal noise point caused by blinking or external environmental interference, which is then removed and smoothed using the pre-value filling method.

[0043] Based on the coordinate changes of continuously valid sampling points, the processor calculates the eye movement velocity vector in real time. The calculation formula is as follows:

[0044]

[0045] in, The sampling period of the eye-tracking device, resulting in the velocity vector This will be used as input for subsequent motion prediction steps, where t represents the current sampling time. This represents the real-time gaze coordinates of the observer at the current time t.

[0046] Simultaneously, the processor captures the vertical synchronization signal (V-Sync) of the display system to determine the frame start time of the current display frame. The timing control signals of the display system are analyzed to determine the predetermined lighting times for each monochromatic subfield of red (R), green (G), and blue (B) within the current frame period. The effective emission duration of each monochromatic subfield is assumed to be... Each subfield relative to center time offset .

[0047] Through the above steps, the system accurately locks the key moment when light from each subfield enters the human eye in the time domain, and obtains the real-time position and dynamic trend of the human eye in the spatial domain, providing an accurate initial benchmark for eliminating color separation.

[0048] Step S2: Construct a motion prediction model that includes system link delay parameters. Based on the eye movement data at the current moment, use the prediction algorithm to extrapolate the eye movement trajectory in the time domain and calculate the predicted position of the human eye's gaze point in the screen coordinate system at the actual lighting time of each subsequent monochromatic subfield.

[0049] To eliminate the time lag caused by data processing and hardware response, the system first calibrates the end-to-end latency. This parameter is not a single value, but is composed of the cumulative time of multiple key nodes, including the exposure and readout time of the image sensor of the eye-tracking device; the time it takes for data to be transmitted to the processor; and the computation time of the processor to perform coordinate transformation, filtering and compensation algorithms.

[0050] To eliminate jitter noise during the acquisition process of eye-tracking devices and improve extrapolation accuracy, this embodiment uses Kalman filtering to establish a state-space model of eye movement.

[0051] set up The state vector of the eye at time t is ,in For location, For speed.

[0052]

[0053] in Here is the state transition matrix. This refers to system process noise.

[0054] Real-time observations obtained using step S1 The optimal state estimate for the current moment is recursively calculated through two stages: prediction and update. :

[0055]

[0056] in This represents the Kalman gain. After iterating through this model, the system can smooth out minute nystagmus of the eyeball, from the optimal state estimate. The third and fourth elements are extracted directly to obtain a high-confidence instantaneous speed. . This represents the optimal state estimate at time k, where k is the representation of the continuous physical time t converted into a discrete sampling step size, focusing on describing the algorithm logic.

[0057] H represents the observation matrix, which defines the relationship between the system state and the observed values.

[0058] Based on the optimal state estimate, the system calculates the predicted location of the future emission instant for each of the R, G, and B subfields. The logic for determining the prediction is as follows:

[0059] Calculate the total time span from the current eye movement data acquisition point to the moment when the target monochromatic subfield center emits light. .

[0060] The currently best estimated eye movement velocity vector With time span Multiplying them together yields the predicted increment of eye movement. .

[0061] The displacement increment is superimposed onto the current gaze point position. The predicted gaze coordinates of the target subfield at that time are obtained. .

[0062] Through step S2, the system predicts the precise gaze trajectory of the human eye in the next few milliseconds, providing forward-looking physical parameters for achieving "static illumination" of the image on the retina.

[0063] Step S3: Based on the principle of retinal imaging stabilization, establish a retinal reference coordinate system; take the eye's gaze point at the start of the current frame as the reference anchor point, perform temporal revision according to the predetermined illumination time and the full-link delay parameters in S2, and calculate the relative motion vector of the predicted position of the human eye at the actual illumination time of each monochromatic subfield relative to the reference anchor point; based on the relative motion vector, generate image displacement compensation amounts with opposite directions and equal magnitudes to offset the influence of eye movement on the retinal imaging position.

[0064] The system locks the start time of the current frame. human eye gaze coordinates As a reference anchor point for retinal projection This anchor point represents the ideal imaging center of the image on the retina for this frame.

[0065] The retinal reference coordinate system is designed to simulate the spatial alignment process of the brain when perceiving continuous images. In field-sequenced displays, if the eye saccades between subfields, the retina undergoes a physical slip relative to the screen coordinate system. This step determines the compensation reference by calculating this slip amount.

[0066] For each monochromatic subfield, the system calculates the spatial displacement of the human eye relative to the reference anchor point at the predicted lighting moment.

[0067] Calculate the target monochromatic subfield Predicted lighting time With the start time of the current frame The absolute time difference between them:

[0068] Based on the optimal eye movement velocity vector smoothed by Kalman filtering in step S2 Calculate the cumulative displacement of the eyeball relative to the anchor point during this time difference:

[0069]

[0070] The vector It describes the "physical slip" of the human eye's retina relative to the screen coordinate system at the instant the subfield is lit. represent With the start time of the current frame The time difference between them.

[0071] According to the principle of retinal imaging stabilization, in order to ensure that the image is always projected onto the same physical area of ​​the retina, a jump is applied to the image on the screen that is completely opposite to the direction of eye movement.

[0072] Through the above logic, the image translation direction is always opposite to the eye movement direction, and the translation distance is exactly equal to the saccade distance of the eye in the corresponding time period. This "active reverse jump" ensures that no matter how fast the eye rotates, the coordinates of the light rays from each monochromatic subfield remain coincident with the coordinates of the physical surface of the retina when they enter the pupil and are projected onto the retina.

[0073] Step S4: Based on the calculated image displacement compensation amount, perform reverse geometric translation processing on the corresponding monochrome subfield original image data to generate reconstructed subfield image data.

[0074] Because reverse geometric translation can cause gaps outside the original image range at the edges of the display area, the system executes the following dynamic filling logic: The rendering resolution of the original image source is pre-set to be slightly larger than the physical output resolution of the display terminal. The portion exceeding the physical area is defined as an overscan buffer. When pixel gaps occur due to image displacement, the system automatically extracts the corresponding image data from the overscan buffer and fills them according to the sign and magnitude of the offset. If the displayed content is borderless (head-up display, transparent display, etc.), there is no need to pre-define the expansion of the original image source.

[0075] Through step S4, the original monochrome subfield image is reconstructed into a dynamic image stream that is spatially staggered and has subpixel-level precision. When these reconstructed subfield data switch rapidly on the time axis, they will perfectly compensate for the coordinate misalignment caused by human eye scanning, ensuring that the details of each frame remain clear and stable under dynamic observation.

[0076] Step S5: Send the reconstructed monochromatic subfield image data into the display driver module, and drive the display terminal strictly according to the timing control signal, so that the monochromatic subfield light that is lit at different times can be projected onto the same physical area of ​​the observer's retina, so as to achieve the overlap of imaging positions.

[0077] The preferred embodiments of the present invention have been described in detail above. These embodiments are merely descriptions of preferred embodiments and are not intended to limit the scope or concept of the invention. The specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. Such combinations, as long as they do not violate the spirit of the present invention, should also be considered as part of this disclosure. To avoid unnecessary repetition, the present invention will not further describe the various possible combinations.

[0078] This invention is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this invention and without departing from the design idea of ​​this invention, all modifications and improvements made by those skilled in the art to the technical solutions of this invention should fall within the protection scope of this invention. The technical content for which protection is sought in this invention has been fully described in the claims.

Claims

1. A field-sequence display color separation suppression method based on human eye tracking, characterized in that, Includes the following steps: Step S1: Use an eye-tracking device to collect real-time eye movement data of the observer relative to the display terminal. At the same time, acquire the timing control signal of the display system, determine the frame start time of the current display frame, and parse the predetermined lighting time of each monochromatic subfield on the time axis of the frame period. Step S2: Construct a motion prediction model that includes end-to-end delay parameters. Based on the eye movement data and motion prediction model at the current moment, use the prediction algorithm to extrapolate the eye movement trajectory in the time domain, calculate the actual lighting time of each subsequent monochromatic subfield, and determine the predicted position of the human eye's gaze point in the screen coordinate system. Step S3: Based on the principle of retinal imaging stabilization, establish a retinal reference coordinate system; Using the eye's gaze point at the start of the current frame as the reference anchor point, temporal revision is performed based on the predetermined illumination time and the full-link delay parameters in S2, and the relative motion vector of the predicted position of the human eye at the actual illumination time of each monochromatic subfield relative to the reference anchor point is calculated; based on the relative motion vector, an image displacement compensation amount with opposite direction and equal magnitude is generated to offset the influence of eye movement on the retinal imaging position. Step S4: Based on the calculated image displacement compensation amount, perform reverse geometric translation processing on the corresponding monochrome subfield original image data; for the non-integer pixel displacements generated by the translation, perform sub-pixel level resampling to generate reconstructed monochrome subfield image data. Step S5: Send the reconstructed monochromatic subfield image data into the display driver module, and drive the display terminal according to the timing control signal so that the monochromatic subfield light that is lit at different times can be projected onto the same physical area of ​​the observer's retina, so as to achieve the overlap of imaging positions.

2. The field-sequence display color separation suppression method based on human eye tracking according to claim 1, characterized in that, Step S1 specifically includes: the eye movement data includes observations including the coordinates of the gaze point and the eye movement velocity vector; configuring the sampling frequency of the eye tracking device to be higher than or equal to the field refresh rate of the display system to ensure that multiple eye movement sampling points are obtained within one display frame cycle; inputting the collected raw eye movement data into the processor for preprocessing, the preprocessing including mapping the coordinate system of the eye tracking device to the pixel coordinate system of the display terminal, and removing abnormal noise data caused by blinking or signal loss.

3. The field-sequence display color separation suppression method based on human eye tracking according to claim 1, characterized in that, In step S2, the end-to-end delay parameter includes the total time consumed from eye movement data acquisition, data transmission, algorithm processing to the actual emission of light from the display terminal; the prediction algorithm includes prediction algorithms such as Kalman filtering and neural network-based prediction models; by establishing a state-space model that includes the eye position and velocity states, the optimal state estimate at the current moment is recursively calculated using the optimal state estimate from the previous moment and the observation at the current moment; using the optimal state estimate, combined with the end-to-end delay parameter, the eye movement trajectory is smoothed and extrapolated linearly or nonlinearly to future time points, thereby obtaining the predicted coordinates of the gaze point after eliminating jitter noise.

4. The field-sequence display color separation suppression method based on human eye tracking according to claim 3, characterized in that, In step S2, the logic for determining the predicted position of the human eye gaze point in the screen coordinate system is as follows: First, determine the time span from the current data acquisition time to the actual emission time of the target monochromatic subfield. This time span is obtained by accumulating the subfield timing interval and the full-link delay parameter time. Then, the eye movement velocity vector at the current moment is multiplied by the time span to obtain the predicted eye displacement increment; finally, the eye displacement increment is superimposed on the fixation point position at the current moment to obtain the predicted fixation point coordinates at the target subfield moment.

5. The field-sequence display color separation suppression method based on human eye tracking according to claim 1, characterized in that, In step S3, the calculation of the image displacement compensation amount follows the following logic: calculate the time difference between the illumination time of the target monochromatic subfield and the start time of the current frame; determine the relative displacement vector of the eyeball within the time difference based on the product of the eyeball motion velocity vector and the time difference; invert the relative displacement vector to obtain the image displacement compensation amount, so that the image translation direction is always opposite to the eyeball motion direction, and the translation distance is equal to the saccade distance of the eyeball in the corresponding time period.

6. The field-sequence display color separation suppression method based on human eye tracking according to claim 1, characterized in that, In step S4, the reverse geometric translation process specifically includes: decomposing the calculated image displacement compensation amount into horizontal and vertical components, and further splitting the horizontal and vertical components into integer pixel parts and fractional pixel parts respectively; using the integer pixel parts to perform index offset on the storage address of the image matrix to achieve a coarse translation; using the fractional pixel parts as interpolation weights, employing bilinear interpolation or bicubic interpolation algorithms to perform weighted calculations on the grayscale values ​​of adjacent pixels to calculate the translated sub-pixel grayscale values, which are then used as the compensated monochromatic subfield image data.

7. The field-sequence display color separation suppression method based on human eye tracking according to claim 6, characterized in that, Step S4 also includes an overscan edge compensation step, specifically: the rendering resolution of the original image source is pre-configured to be greater than the physical output resolution of the display terminal, and the image portion exceeding the physical display area is defined as an overscan buffer; when performing reverse geometric translation, when pixel gaps occur at the edge of the display area due to image movement, the corresponding image data in the overscan buffer is dynamically called to fill them, so as to maintain the integrity of the full-screen display.

8. The field-sequence display color separation suppression method based on human eye tracking according to claim 7, characterized in that, The calculation of the image displacement compensation amount is independent of the motion vector of the video source content itself; regardless of whether the video source content is a static image or a dynamic video, the image displacement compensation amount is determined only by the observer's eye movement data and is used to offset the retinal imaging slip caused by eye saccades.

9. A field-sequence display color separation suppression system based on human eye tracking, characterized in that, include: The eye-tracking module is configured to capture the observer's eye movement features in real time at a high sampling rate and output a gaze coordinate stream containing timestamps and velocity information. The timing control module is configured to generate a global timing reference for field sequence display and provides frame synchronization information and sub-field switching signals accurate to the microsecond level to each module; The motion prediction and compensation processing module has a built-in prediction filtering unit and geometric transformation engine. The prediction filtering unit is used to perform eye movement trajectory prediction; The geometric transformation engine is used to perform image displacement compensation calculation and subpixel resampling operation, and outputs the compensated subfield image data stream. The field sequence display terminal is configured to receive the compensated image data stream and cycle-light up the red, green, and blue monochrome subfields in a strictly predetermined time sequence to complete the full-color image display.

Images