Variational resolution panoramic ghost imaging method and system based on logarithmic straight line transformation

Abstract

The application discloses a variable-resolution panoramic ghost imaging method and system based on a logarithmic straight line transformation, generates a human-eye-simulated variable-resolution annular speckle sequence based on logarithmic straight line transformation and logarithmic polar coordinate mapping characteristics, modulates a light source by using the human-eye-simulated variable-resolution annular speckle sequence, and irradiates the light emitted after modulation on a curved mirror, and performs correlation calculation on the light intensity value of the light intensity signal with target information returned by diffuse reflection received by a detector and a variable-resolution rectangular speckle sequence corresponding to the human-eye-simulated variable-resolution annular speckle sequence, so as to directly reconstruct a variable-resolution panoramic ghost imaging image. The application can reduce sampling redundancy while maintaining high signal-to-noise ratio, realize ghost imaging with simultaneous consideration of a large field of view, high resolution and high efficiency, and further meet imaging requirements in more fields, so as to expand the application field of ghost imaging.

Description

Technical Field

[0001] This invention relates to the field of photoelectric imaging technology, and in particular to a variable resolution panoramic ghost imaging method and system based on logarithmic linear transformation. Background Technology

[0002] Panoramic ghost imaging is a novel correlation imaging method for achieving a 360° circumferential field of view. It utilizes a curved mirror to reflect a ring-shaped speckle pattern used to modulate the light source onto the target scene within a 360° radius. A bucket detector then collects the intensity fluctuations of the reflected light and correlates them with a corresponding rectangular speckle sequence based on logarithmic polar coordinate transformation. This allows for the direct reconstruction of a distortion-free panoramic target scene. Compared to traditional panoramic imaging methods, panoramic ghost imaging offers advantages such as strong anti-interference capabilities, imaging resolution exceeding the diffraction limit, the ability to image across different wavelengths, and high detection sensitivity. It can be used to address the problems and challenges encountered by traditional panoramic imaging technologies, thereby expanding the application needs of panoramic imaging.

[0003] However, in practical applications, the demand for simultaneously achieving high quality, a large field of view, and high efficiency is increasing. Because panoramic imaging has a large field of view, obtaining high-quality imaging results generally requires maintaining high-resolution imaging across the entire field of view. This increases data processing volume, making it impossible to simultaneously achieve high quality and high efficiency. If not the entire field of view represents the scene of interest, but only a portion of it, high-resolution imaging of the entire field of view will lead to data redundancy and reduce imaging speed. In panoramic ghost imaging, a balance between imaging resolution and efficiency is even more crucial. To achieve high-resolution, high-efficiency, and large-field-of-view ghost imaging, variable-resolution panoramic ghost imaging is a very effective solution. Summary of the Invention

[0004] This invention addresses the aforementioned problems in the prior art. Therefore, a variable-resolution panoramic ghost imaging method and system based on logarithmic linear transformation is needed. This method designs a variable-resolution annular speckle pattern suitable for panoramic ghost imaging systems based on logarithmic linear transformation and a mechanism mimicking the logarithmic polar coordinate mapping of the human retina. The region of interest is used as a high-resolution central fovea region while maintaining low-resolution imaging of surrounding areas, achieving efficient variable-resolution panoramic ghost imaging. This solves the sampling redundancy problem faced by high-resolution panoramic ghost imaging and improves imaging efficiency.

[0005] According to a first aspect of the present invention, a variable resolution panoramic ghost imaging method based on logarithmic linear transformation is provided, the method comprising: generating a human eye-like variable resolution annular speckle sequence based on the characteristics of logarithmic linear transformation and logarithmic polar coordinate mapping;

[0006] The light source is modulated using the human-eye variable-resolution annular speckle sequence. The modulated light source emits light that shines onto a curved mirror. The light is reflected by the curved mirror and then diffusely reflects onto the target scene in the surrounding 360° field of view. The detector receives the light intensity signal containing target information that is diffusely reflected back. The light intensity value of the light intensity signal is correlated with the variable-resolution rectangular speckle sequence corresponding to the human-eye variable-resolution annular speckle sequence to directly reconstruct a variable-resolution panoramic ghost imaging image.

[0007] Furthermore, based on the properties of logarithmic linear transformation and logarithmic polar coordinate mapping, a human-eye-like variable-resolution circular speckle sequence is generated using the following method:

[0008] Initialize uniform, high-resolution annular speckle parameters similar to those of a human eye;

[0009] Select the central concave region of interest of the panoramic image according to the application requirements, and set the variable resolution annular speckle parameters according to the logarithmic linear transformation.

[0010] A human-eye variable-resolution circular speckle model was constructed, and a human-eye variable-resolution circular speckle sequence was generated.

[0011] Furthermore, the initialization of uniform, high-resolution, human-eye-inspired annular speckle parameters includes:

[0012] The annular speckle pattern of the human eye includes a central foveal blind aperture region and an imaging region. The area within the outer ring radius r0 of the central foveal blind aperture region is defined as the blind zone, and the area outside r0 is defined as the imaging region. Based on the different polar diameters and polar angles, the imaging region is divided into P rings, with Q pixels evenly distributed in each ring. ε represents the inter-ring growth coefficient, and the resolution of the panoramic ghost imaging is expressed as P×Q.

[0013] Furthermore, the step of selecting the central concave region of interest of the panoramic image according to application requirements and setting the variable-resolution annular speckle parameters according to the logarithmic linear transform includes:

[0014] The coordinate direction of the unfolded rectangular panoramic ghost image is set as the p-q direction. The center point coordinates of the region of interest in the central concave part of the panoramic ghost image are (p0, q0). The radius of the region of interest in the p direction is m0, and the radius of the region of interest in the q direction is n0. In the non-region of interest, the growth factor in the p direction is α1, and the growth factor in the q direction is α2. The entire human-eye variable resolution annular speckle has a total of U rings, and each ring has V pixels non-uniformly distributed. The resolution of the variable resolution panoramic ghost image is expressed as U×V.

[0015] Furthermore, the construction of the human eye-like variable-resolution circular speckle model and the generation of the human eye-like variable-resolution circular speckle sequence include:

[0016] Based on the initialized uniform high-resolution annular speckle parameters and the set variable-resolution annular speckle parameters, the relationship between the uniform resolution and the variable-resolution parameters is established, resulting in a mathematical model of the annular speckle with variable resolution.

[0017]

[0018] in: This represents the radius of the u-th layer extending in the direction p from the center point of the region of interest in the pq coordinate system. The radius of the v-th layer extending in the direction q from the center point of the region of interest; p(u) and q(v) represent the u-th ring and u-th pixel of the human eye-like variable-resolution circular speckle, respectively; r p(u) rc represents the radius of the u-th ring of the annular speckle pattern, which is analogous to the resolution of the human eye. p(u) Represents the center radius of the u-th ring of the annular speckle pattern that mimics human eye resolution; round() is the rounding symbol; θ q(v) ξ is the angle corresponding to the v-th pixel. p(u) This represents the numerical value of the center radius of the u-th ring in logarithmic polar coordinates.

[0019] Furthermore, the light intensity value of the light intensity signal and the corresponding variable-resolution rectangular speckle sequence mapped by the human-eye variable-resolution circular speckle sequence are correlated and calculated to directly reconstruct a variable-resolution panoramic ghost imaging image, including:

[0020] Set the panoramic variable resolution image resolution to U×V, project a sequence of U×V human eye-like variable resolution annular speckle images, and then project the i-th human eye-like variable resolution annular speckle image S. i At that time, the intensity value of the received light intensity signal is expressed as:

[0021]

[0022] Where T i S represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern, o(x,y) represents the 360° omnidirectional annular target illuminated by the modulated speckle, and S represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern. i (x,y) represents the i-th human-eye variable resolution annular speckle image, where x and y represent the position coordinates of the variable resolution annular speckle in the Cartesian coordinate system.

[0023] Based on the logarithmic polar coordinate mapping characteristics, a U×V variable-resolution rectangular speckle sequence is obtained, along with a sequence of measurements detected by the detector. Correlation calculations are then performed to directly obtain a rectangular variable-resolution panoramic ghost image.

[0024]

[0025] Where o'(u,v) represents a rectangular variable-resolution panoramic ghost image, k i The i-th annular speckle pattern representing the projection of the human eye variable resolution is S. i The corresponding variable resolution rectangular speckle, T i The light intensity value represents the light intensity signal obtained by projecting the i-th human eye variable resolution ring speckle pattern.

[0026] According to a second technical solution of the present invention, a variable resolution panoramic ghost imaging system based on logarithmic linear transformation is provided. The system includes a projection system, a focusing lens, a curved reflector, a detector, a data acquisition card, a light source modulation module, and a computing module.

[0027] The projection system, focusing lens, and curved reflector are arranged sequentially on the same optical path;

[0028] The light source modulation module is connected to the projection system. The light source modulation module is configured to generate a human eye variable resolution annular speckle sequence based on the characteristics of logarithmic linear transformation and logarithmic polar coordinate mapping, and to use the human eye variable resolution annular speckle sequence to modulate the light source of the projection system.

[0029] The detector is connected to the data acquisition card and is used to collect the light intensity value of the light intensity signal reflected back by the curved mirror and store the light intensity value in the data acquisition card.

[0030] The computing module is connected to the data acquisition card. The computing module is configured to acquire the light intensity signal with target information received by the detector through the data acquisition card, and perform correlation calculations between the light intensity signal and the variable resolution rectangular speckle sequence corresponding to the human eye variable resolution ring speckle sequence mapping to directly reconstruct the variable resolution panoramic ghost imaging image.

[0031] Furthermore, the light source modulation module is further configured as follows:

[0032] Initialize uniform, high-resolution annular speckle parameters similar to those of a human eye;

[0033] Select the central concave region of interest of the panoramic image according to the application requirements, and set the variable resolution annular speckle parameters according to the logarithmic linear transformation.

[0034] A human-eye variable-resolution circular speckle model was constructed, and a human-eye variable-resolution circular speckle sequence was generated.

[0035] Furthermore, the light source modulation module is further configured as follows:

[0036] The annular speckle pattern of the human eye includes a central foveal blind aperture region and an imaging region. The area within the outer ring radius r0 of the central foveal blind aperture region is defined as the blind zone, and the area outside r0 is defined as the imaging region. Based on the different polar diameters and polar angles, the imaging region is divided into P rings, with Q pixels evenly distributed in each ring. ε represents the inter-ring growth coefficient, and the resolution of the panoramic ghost imaging is expressed as P×Q.

[0037] The coordinate direction of the unfolded rectangular panoramic ghost image is set as the p-q direction. The center point coordinates of the region of interest in the central concave part of the panoramic ghost image are (p0, q0). The radius of the region of interest in the p direction is m0, and the radius of the region of interest in the q direction is n0. In the non-region of interest, the growth factor in the p direction is α1, and the growth factor in the q direction is α2. The entire human-eye variable resolution annular speckle has a total of U rings, and each ring has V pixels non-uniformly distributed. The resolution of the variable resolution panoramic ghost image is expressed as U×V.

[0038] Based on the initialized uniform high-resolution annular speckle parameters and the set variable-resolution annular speckle parameters, the relationship between the uniform resolution and the variable-resolution parameters is established, resulting in a mathematical model of the annular speckle with variable resolution.

[0039]

[0040] in: This represents the radius of the u-th layer extending in the direction p from the center point of the region of interest in the pq coordinate system. The radius of the v-th layer extending in the direction q from the center point of the region of interest; p(u) and q(v) represent the u-th ring and u-th pixel of the human eye-like variable-resolution circular speckle, respectively; r p(u) rc represents the radius of the u-th ring of the annular speckle pattern, which is analogous to the resolution of the human eye. p(u) Represents the center radius of the u-th ring of the annular speckle pattern that mimics human eye resolution; round() is the rounding symbol; θ q(v) ξ is the angle corresponding to the v-th pixel. p(u) This represents the numerical value of the center radius of the u-th ring in logarithmic polar coordinates.

[0041] Furthermore, the computing module is further configured as follows:

[0042] Set the panoramic variable resolution image resolution to U×V, project a sequence of U×V human eye-like variable resolution annular speckle images, and then project the i-th human eye-like variable resolution annular speckle image S. i At that time, the intensity value of the received light intensity signal is expressed as:

[0043]

[0044] Where T iS represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern, o(x,y) represents the 360° omnidirectional annular target illuminated by the modulated speckle, and S represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern. i (x,y) represents the i-th human-eye variable resolution annular speckle image, where x and y represent the position coordinates of the variable resolution annular speckle in the Cartesian coordinate system.

[0045] Based on the logarithmic polar coordinate mapping characteristics, a U×V variable-resolution rectangular speckle sequence is obtained, along with a sequence of measurements detected by the detector. Correlation calculations are then performed to directly obtain a rectangular variable-resolution panoramic ghost image.

[0046]

[0047] Where o'(u,v) represents a rectangular variable-resolution panoramic ghost image, k i The i-th annular speckle pattern representing the projection of the human eye variable resolution is S. i The corresponding variable resolution rectangular speckle, T i The light intensity value represents the light intensity signal obtained by projecting the i-th human eye variable resolution ring speckle pattern.

[0048] The variable-resolution panoramic ghost imaging method and system based on logarithmic linear transformation according to various schemes of the present invention have at least the following technical effects:

[0049] This invention designs a variable-resolution annular speckle pattern suitable for panoramic ghost imaging based on logarithmic linear transformation and the logarithmic polar coordinate mapping characteristics of the human eye's retina. It allows for the free design of the fovea region and multiple fovea settings according to the region of interest, thereby obtaining efficient panoramic ghost imaging with high resolution in the region of interest and low resolution in the non-region of interest. It can reduce sampling redundancy while maintaining a high signal-to-noise ratio, achieving ghost imaging that simultaneously takes into account a large field of view, high resolution, and high efficiency, thus meeting the imaging needs of more fields and expanding the application areas of ghost imaging. Attached Figure Description

[0050] In drawings that are not necessarily drawn to scale, the same reference numerals may describe similar parts in different views. The same reference numerals with or without letter suffixes may indicate different instances of similar parts. The drawings generally illustrate various embodiments by way of example rather than limitation and, together with the description and claims, serve to explain embodiments of the invention. Where appropriate, the same reference numerals are used in all drawings to refer to the same or similar parts. Such embodiments are illustrative and not intended to be exhaustive or exclusive embodiments of the apparatus or method.

[0051] Figure 1 A flowchart of a variable-resolution panoramic ghost imaging method based on logarithmic linear transformation according to an embodiment of the present invention is shown.

[0052] Figure 2 A schematic diagram of a human-eye variable-resolution annular speckle structure based on logarithmic linear transformation according to an embodiment of the present invention is shown, wherein: (a) is a rectangular speckle structure with uniform resolution, (b) is a human-eye annular speckle structure with uniform resolution, (c) is a variable-resolution rectangular speckle structure based on logarithmic linear transformation, and (d) is a human-eye variable-resolution annular speckle structure based on logarithmic polar coordinate mapping.

[0053] Figure 3 A flowchart illustrating the generation of a human eye variable-resolution circular speckle sequence according to an embodiment of the present invention is shown.

[0054] Figure 4 A structural diagram of a variable resolution panoramic ghost imaging system based on logarithmic linear transformation according to an embodiment of the present invention is shown, wherein: 1-projection system, 2-focusing lens, 3-curved reflector, 4-detector, 5-data acquisition card, 6-computation module.

[0055] Figure 5 A flowchart illustrating the direct reconstruction of a variable-resolution panoramic ghost image according to an embodiment of the present invention is shown.

[0056] Figure 6 Another flowchart of a variable-resolution panoramic ghost imaging method based on logarithmic linear transformation according to an embodiment of the present invention is shown.

[0057] Figure 7a A panoramic ghost image with uniform resolution according to an embodiment of the present invention is shown.

[0058] Figure 7b A variable-resolution panoramic ghost imaging effect with a central concave shape is shown according to an embodiment of the present invention.

[0059] Figure 7c A variable-resolution panoramic ghost imaging effect with two central concave areas is shown according to an embodiment of the present invention.

[0060] Figure 8 A structural block diagram of a variable resolution panoramic ghost imaging system based on logarithmic linear transformation according to an embodiment of the present invention is shown. Detailed Implementation

[0061] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and specific examples, but this is not intended to limit the present invention. If there is no necessary sequential relationship between the various steps described herein, the order in which they are described as examples should not be considered a limitation. Those skilled in the art should understand that the order can be adjusted, as long as it does not disrupt the logical consistency between them and render the entire process impossible.

[0062] This invention provides a variable-resolution panoramic ghost imaging method based on logarithmic linear transform. Please refer to [link to relevant documentation]. Figure 1 The method includes steps S100 and S200.

[0063] Step S100: Based on the characteristics of logarithmic linear transformation and logarithmic polar coordinate mapping, generate a human-eye variable resolution circular speckle sequence.

[0064] Please see Figure 2 This is a schematic diagram of a human-eye-inspired variable-resolution ring speckle structure based on logarithmic linear transformation. It also incorporates... Figure 3 This is a flowchart for generating a human-eye-like variable-resolution circular speckle sequence. In some embodiments, based on the characteristics of logarithmic linear transformation and logarithmic polar coordinate mapping, the human-eye-like variable-resolution circular speckle sequence is generated by the following method:

[0065] Step S101: Initialize uniform, high-resolution annular speckle parameters for the human eye.

[0066] For example, in step S101, the annular speckle pattern of the human eye includes a central foveal blind aperture region and an imaging region. The area within the outer ring radius r0 of the central foveal blind aperture region is defined as the blind zone, and the area outside r0 is defined as the imaging region. Based on the different polar diameters and polar angles, the imaging region is divided into P rings, with Q pixels uniformly distributed in each ring. ε represents the inter-ring growth coefficient, and the resolution of the panoramic ghost imaging is expressed as P×Q. In other words, in actual implementation, the parameters of the uniform, high-resolution annular speckle pattern of the human eye can be adjusted according to the specific circumstances, including the outer ring radius r0 of the central foveal blind aperture region, the number of rings P in the imaging region, and the number of pixels Q distributed within each ring of the imaging region.

[0067] Step S102: Select the central concave region of interest of the panoramic image according to the application requirements, and set the variable resolution annular speckle parameters according to the logarithmic linear transformation.

[0068] For example, in step S102, the coordinate direction of the unfolded rectangular panoramic ghost image is set to the pq direction, the center point coordinates of the central concave region of interest of the panoramic ghost image are (p0, q0), the p-direction radius of the region of interest is m0, and the q-direction radius of the region of interest is n0; in the non-region of interest, the p-direction growth factor is α1, and the q-direction growth factor is α2; the entire human-eye variable resolution annular speckle has a total of U rings, each ring has V pixels non-uniformly distributed, and the resolution of the variable resolution panoramic ghost image is expressed as U×V.

[0069] Step S103: Construct a human eye variable resolution ring speckle model and generate a human eye variable resolution ring speckle sequence.

[0070] For example, in step S103, based on the initialized uniform high-resolution annular speckle parameters and the set variable-resolution annular speckle parameters, the relationship between the uniform resolution and the variable-resolution parameters is established, resulting in a mathematical model of the annular speckle with variable resolution.

[0071]

[0072] in: This represents the radius of the u-th layer extending in the direction p from the center point of the region of interest in the pq coordinate system. The radius of the v-th layer extending in the direction q from the center point of the region of interest; p(u) and q(v) represent the u-th ring and u-th pixel of the human eye-like variable-resolution circular speckle, respectively; r p(u) rc represents the radius of the u-th ring of the annular speckle pattern, which is analogous to the resolution of the human eye. p(u) Represents the center radius of the u-th ring of the annular speckle pattern that mimics human eye resolution; round() is the rounding symbol; θ q(v) ξ is the angle corresponding to the v-th pixel. p(u) This represents the numerical value of the center radius of the u-th ring in logarithmic polar coordinates.

[0073] Step S200: Modulate the light source using the human-eye variable resolution annular speckle sequence. The modulated light source emits light that illuminates a curved mirror. The light is reflected by the curved mirror and then diffusely reflects onto the target scene in the surrounding 360° field of view. Obtain the light intensity signal containing target information received by the detector. Correlate the light intensity signal with the variable resolution rectangular speckle sequence corresponding to the human-eye variable resolution annular speckle sequence to directly reconstruct the variable resolution panoramic ghost imaging image.

[0074] For example, please refer to Figure 4The diagram shows a structural representation of a variable-resolution panoramic ghost imaging system based on logarithmic linear transformation capable of implementing step S200. The system includes a projection system 1, a focusing lens 2, a curved reflector 3, a detector 4, a data acquisition card 5, and a processing module 6. The projection system 1, focusing lens 2, and curved reflector 3 are sequentially arranged on the same optical path. The detector 4 is connected to the data acquisition card 5 and is used to acquire the light intensity value of the light intensity signal reflected back from the curved reflector 3, storing the light intensity value in the data acquisition card 5. The processing module 6 is connected to the data acquisition card 5 and is configured to implement the corresponding steps described in step S200.

[0075] It should be noted that the projection system 1 can be implemented as a component capable of projecting a modulated light source, including but not limited to a projector. The detector 4 can be implemented as a component capable of collecting light intensity signals, including but not limited to a bucket detector. The arithmetic module 6 can be implemented as a component capable of performing mathematical operations, including but not limited to a host computer.

[0076] In some embodiments, such as Figure 5 As shown, step S200 may specifically include the following steps:

[0077] Step 201: The light source is modulated using the human-eye variable resolution ring speckle sequence. The modulated light is irradiated onto the curved mirror. The light is reflected by the curved mirror to illuminate the target scene in the surrounding 360° field of view. The reflected light is diffusely reflected onto the target scene in the surrounding 360° field of view. The detector receives the light intensity carrying the target information that is diffusely reflected back.

[0078] For example, the resolution of the panoramic variable-resolution image is set to U×V, and U×V sequences of human eye-like variable-resolution annular speckle images are projected. Then, the i-th sequence of human eye-like variable-resolution annular speckle images S is projected. i At that time, the intensity value of the received light intensity signal is expressed as:

[0079]

[0080] Where T i S represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern, o(x,y) represents the 360° omnidirectional annular target illuminated by the modulated speckle, and S represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern. i (x,y) represents the i-th human-eye variable resolution annular speckle image, where x and y represent the position coordinates of the variable resolution annular speckle in the Cartesian coordinate system.

[0081] Step 202: By associating the received light intensity value with the variable resolution rectangular speckle sequence corresponding to the human eye variable resolution annular speckle sequence mapping, a rectangular distortion-free variable resolution panoramic ghost imaging image can be directly reconstructed.

[0082] For example, by mapping the U×V variable-resolution rectangular speckle sequence based on the logarithmic polar coordinate mapping characteristics, and performing correlation calculations with the sequence of measured values ​​detected by the detector, a rectangular variable-resolution panoramic ghost imaging image can be directly obtained:

[0083]

[0084] Where o'(u,v) represents a rectangular variable-resolution panoramic ghost image, k i The i-th annular speckle pattern representing the projection of the human eye variable resolution is S. i The corresponding variable resolution rectangular speckle, T i The light intensity value represents the light intensity signal obtained by projecting the i-th human eye variable resolution ring speckle pattern.

[0085] In some embodiments, the variable-resolution panoramic ghost imaging method based on logarithmic linear transform can preset a set of parameters to determine different regions of interest in the central fovea of ​​the panoramic image, and set variable-resolution annular speckle parameters according to the logarithmic linear transform to obtain different variable-resolution panoramic ghost imaging images in a single run. For detailed procedures, please refer to [link to detailed process]. Figure 6 As shown, the method includes the following steps:

[0086] Step S601: Initialize uniform, high-resolution annular speckle parameters for the human eye.

[0087] Step S602: Set the variable resolution annular speckle parameters according to the region of interest.

[0088] Step S603: Construct a human eye variable resolution ring speckle model to generate a human eye variable resolution ring speckle sequence.

[0089] Step S604: Project a human eye-like variable resolution ring speckle to modulate the light source, and use a bucket detector to collect the intensity of the reflected light.

[0090] Step S605: Determine whether the number of projections is lower than the maximum number of measurements. If yes, return to step S604; otherwise, proceed to step S606.

[0091] Step S606: Perform correlation calculations between the collected light intensity data and the mapped variable resolution rectangular speckle to obtain a variable resolution panoramic ghost imaging image.

[0092] Step S607: Based on the image results, find the next region of interest to meet the application requirements, and return to step S602 until the application requirements are met. The criterion for meeting the application requirements can be that the entire region of interest defined by the preset set of parameters has been imaged.

[0093] The effect image of the variable resolution panoramic ghost imaging obtained based on the above process is shown in the figure below. Figures 7a-7c As shown, where Figure 7a This is a panoramic ghost image with uniform resolution. Figure 7b This is a variable-resolution panoramic ghost image with a central concave focal length. Figure 7c A rendering of a variable-resolution panoramic ghost image with two central foveas.

[0094] Please see Figure 8 The present invention also provides a variable resolution panoramic ghost imaging system based on logarithmic linear transformation. The system 800 includes a projection system 801, a focusing lens 802, a curved reflector 803, a detector 804, a data acquisition card 805, a light source modulation module 806, and a computing module 807.

[0095] The projection system 801, focusing lens 802, and curved reflector 803 are arranged sequentially on the same optical path.

[0096] The light source modulation module 806 is connected to the projection system 801. The light source modulation module 806 is configured to generate a human eye variable resolution annular speckle sequence based on the characteristics of logarithmic linear transformation and logarithmic polar coordinate mapping, and to use the human eye variable resolution annular speckle sequence to modulate the light source of the projection system.

[0097] The detector 804 is connected to the data acquisition card 805 and is used to acquire the light intensity value of the light intensity signal reflected back by the curved reflector 803 and store the light intensity value in the data acquisition card 805.

[0098] The computing module 807 is connected to the data acquisition card 805. The computing module 807 is configured to acquire the light intensity signal with target information received by the detector 804 through the data acquisition card 805, and perform correlation calculation between the light intensity value of the light intensity signal and the variable resolution rectangular speckle sequence corresponding to the human eye variable resolution ring speckle sequence mapping to directly reconstruct the variable resolution panoramic ghost imaging image.

[0099] In some embodiments, the light source modulation module is further configured to: initialize uniform high-resolution human-eye-like circular speckle parameters; select the central foveal region of interest of the panoramic image according to application requirements, and set the variable resolution circular speckle parameters according to logarithmic linear transformation; construct a human-eye-like variable resolution circular speckle model, and generate a human-eye-like variable resolution circular speckle sequence.

[0100] In some embodiments, the light source modulation module is further configured as follows: The annular speckle pattern of the human eye includes a central foveal blind aperture region and an imaging region. The area within the outer ring radius r0 of the central foveal blind aperture region is defined as the blind zone, and the area outside r0 is defined as the imaging region. Based on the different polar radius and polar angle, the imaging region is divided into P rings, each ring uniformly distributing Q pixels. ε represents the inter-ring growth coefficient, and the resolution of the panoramic ghost imaging is expressed as P×Q. The coordinate direction of the unfolded rectangular panoramic ghost imaging is set to the pq direction. The center point coordinates of the central foveal region of interest in the panoramic ghost imaging are (p0, q0), the p-direction radius of the region of interest is m0, and the q-direction radius of the region of interest is n0. In the non-region of interest, the p-direction growth factor is α1, and the q-direction growth factor is α2. The entire annular speckle pattern of the human eye has a total of U rings, each ring non-uniformly distributing V pixels. The resolution of the variable-resolution panoramic ghost imaging is expressed as U×V. Based on the initialized uniform high-resolution annular speckle parameters and the set variable-resolution annular speckle parameters, the relationship between the uniform resolution and the variable-resolution parameters is established, resulting in a mathematical model of the annular speckle pattern of the human eye.

[0101]

[0102] in: This represents the radius of the u-th layer extending in the direction p from the center point of the region of interest in the pq coordinate system. The radius of the v-th layer extending in the direction q from the center point of the region of interest; p(u) and q(v) represent the u-th ring and u-th pixel of the human eye-like variable-resolution circular speckle, respectively; r p(u) rc represents the radius of the u-th ring of the annular speckle pattern, which is analogous to the resolution of the human eye. p(u) Represents the center radius of the u-th ring of the annular speckle pattern that mimics human eye resolution; round() is the rounding symbol; θ q(v) ξ is the angle corresponding to the v-th pixel. p(u) This represents the numerical value of the center radius of the u-th ring in logarithmic polar coordinates.

[0103] In some embodiments, the computing module is further configured to: set the resolution of the panoramic variable resolution image to U×V, project U×V sequences of human eye-like variable resolution annular speckle patterns, and project the i-th sequence of human eye-like variable resolution annular speckle patterns S. i At that time, the intensity value of the received light intensity signal is expressed as:

[0104]

[0105] Where T i S represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern, o(x,y) represents the 360° omnidirectional annular target illuminated by the modulated speckle, and S represents the light intensity value of the light intensity signal obtained by projecting the i-th analogous human eye variable-resolution annular speckle pattern. i(x,y) represents the i-th human-eye variable resolution annular speckle image, where x and y represent the position coordinates of the variable resolution annular speckle in the Cartesian coordinate system.

[0106] Based on the logarithmic polar coordinate mapping characteristics, a U×V variable-resolution rectangular speckle sequence is obtained, along with a sequence of measurements detected by the detector. Correlation calculations are then performed to directly obtain a rectangular variable-resolution panoramic ghost image.

[0107]

[0108] Where o'(u,v) represents a rectangular variable-resolution panoramic ghost image, k i The i-th annular speckle pattern representing the projection of the human eye variable resolution is S. i The corresponding variable resolution rectangular speckle, T i The light intensity value represents the light intensity signal obtained by projecting the i-th human eye variable resolution ring speckle pattern.

[0109] It should be noted that the variable resolution panoramic ghost imaging system based on logarithmic linear transformation described in this embodiment is basically the same as the variable resolution panoramic ghost imaging method based on logarithmic linear transformation described in previous embodiments. The technical principles are the same, and the technical effects are also basically the same, so they will not be repeated here.

[0110] Furthermore, although exemplary embodiments have been described herein, their scope includes any and all embodiments based on the invention that have equivalent elements, modifications, omissions, combinations (e.g., schemes involving intersections of various embodiments), adaptations, or alterations. Elements in the claims will be interpreted broadly based on the language used in the claims and are not limited to the examples described in this specification or during the implementation of this application, and such examples will be interpreted as non-exclusive. Therefore, this specification and examples are intended to be considered illustrative only, and the true scope and spirit are indicated by the following claims and the full scope of their equivalents.

[0111] The above description is intended to be illustrative and not restrictive. For example, the above examples (or one or more of them) can be used in combination with each other. Other embodiments can be used by those skilled in the art when reading the above description. Furthermore, in the above detailed description, various features may be grouped together to simplify the invention. This should not be construed as an intention that a feature of an unclaimed invention is necessary for any claim. Rather, the subject matter of the invention may be less than all the features of a particular embodiment of the invention. Thus, the following claims are incorporated herein by reference as examples or embodiments, wherein each claim is an independent, separate embodiment, and these embodiments are contemplated to be combined with each other in various combinations or arrangements. The scope of the invention should be determined by reference to the appended claims and the full scope of their equivalents.

Claims

1. A variable-resolution panoramic ghost imaging method based on logarithmic linear transform, characterized in that, The method includes: Based on the properties of logarithmic linear transformation and logarithmic polar coordinate mapping, a human-eye variable resolution circular speckle sequence is generated. The light source is modulated using the human-eye variable resolution annular speckle sequence. The modulated light source emits light that shines onto a curved mirror. The light is reflected by the curved mirror and then diffusely reflects onto the target scene in the surrounding 360° field of view. The detector receives the light intensity signal with target information that is reflected back by the diffuse reflection. The light intensity signal is correlated with the variable resolution rectangular speckle sequence corresponding to the human-eye variable resolution annular speckle sequence and the light intensity signal is correlated to directly reconstruct a variable resolution panoramic ghost imaging image. Based on the properties of logarithmic linear transformation and logarithmic polar coordinate mapping, a human-eye-like variable-resolution circular speckle sequence is generated using the following method: Initialize uniform, high-resolution annular speckle parameters similar to those of a human eye; Select the central concave region of interest of the panoramic image according to the application requirements, and set the variable resolution annular speckle parameters according to the logarithmic linear transformation. A human-eye variable resolution ring speckle model was constructed to generate a human-eye variable resolution ring speckle sequence. The initialization of uniform, high-resolution, human-eye-like annular speckle parameters includes: The annular speckle pattern, mimicking the human eye, includes a central foveal blind aperture region and an imaging region. Therefore, the outer radius of the central foveal blind aperture region is determined. r 0 The inside is a blind spot. r 0 The outer region is the imaging area, which is divided into different polar diameters and polar angles. P Rings, each ring evenly distributed Q 1 pixel, and using ε The inter-ring growth factor is represented by the resolution of the panoramic ghost imaging. P × Q ; The step of selecting the central concave region of interest of the panoramic image according to application requirements and setting the variable resolution annular speckle parameters according to the logarithmic linear transform includes: Set the coordinate direction of the expanded rectangular panoramic ghost image as follows: p - q The coordinates of the center point of the region of interest in the central concave area of ​​the panoramic ghost imaging are ( p 0, q 0), Region of Interest p Directional radius is m 0, Region of Interest q Towards radius n 0; In regions of non-interest, p Towards growth factor α 1, q Towards growth factor α 2; The entire annular speckle pattern that mimics human eye resolution has a total of U Rings, each ring is non-uniformly distributed V The resolution of variable resolution panoramic ghost imaging is expressed as pixels. U × V ; The construction of a human-eye-like variable-resolution circular speckle model and the generation of a human-eye-like variable-resolution circular speckle sequence include: Based on the initialized uniform high-resolution annular speckle parameters and the set variable-resolution annular speckle parameters, the relationship between the uniform resolution and the variable-resolution parameters is established, resulting in a mathematical model of the annular speckle with variable resolution. （1） in: express p - q In the coordinate system, from the center point of the region of interest, ... p The first direction of expansion u Layer radius, Indicates the direction from the center point of the region of interest. q The first direction of expansion v Layer radius; p ( u )and q ( v () represent the first and second halves of the annular speckle pattern that mimics human eye resolution. u Ring and the first v 1 pixel; r p(u) Represents the human eye's ability to distinguish ring speckle patterns. u The radius of the ring, rc p(u) Represents the human eye's ability to distinguish ring speckle patterns. u The center radius of the ring; `round()` is the rounding operator. θ q(v) It is the first v The angle corresponding to each pixel. ξ p(u) Representing the u The value of the ring's center radius in logarithmic polar coordinates; The light intensity value of the light intensity signal and the corresponding variable-resolution rectangular speckle sequence mapped by the human-eye variable-resolution circular speckle sequence are correlated and calculated to directly reconstruct a variable-resolution panoramic ghost image, including: Set the panoramic variable resolution image resolution to U×V ,projection U×V Zhang's analogue to human eye variable resolution circular speckle sequence, in the projection of the first... i Zhang Fangren's eye can distinguish circular speckle patterns. S i At that time, the intensity value of the received light intensity signal is expressed as: （2） in T i Indicates the first projection i Zhang simulated the human eye to obtain the light intensity value of the light intensity signal from the ring speckle pattern. o ( x , y () represents a 360° omnidirectional ring target illuminated by modulated speckle. S i ( x , y ) indicates the first i Zhang can distinguish circular speckle patterns using the analogue of the human eye. x and y This represents the position coordinates of the variable-resolution annular speckle in the Cartesian coordinate system. Based on the properties of logarithmic polar coordinate mapping, the following is obtained: U×V By correlating the variable-resolution rectangular speckle sequence with the sequence of measurements detected by the detector, a rectangular variable-resolution panoramic ghost image is directly obtained: （3） in o '(u,v) represents a rectangular variable-resolution panoramic ghost image. k i The first representing the projection i Zhang Fangren's eye can distinguish circular speckle patterns. S i The corresponding variable resolution rectangular speckle, T i Representing the projection number i Zhang obtained the light intensity value of the light intensity signal from the human eye's ability to distinguish the circular speckle pattern.

2. A variable-resolution panoramic ghost imaging system based on logarithmic linear transform, characterized in that, The system includes a projection system, a focusing lens, a curved reflector, a detector, a data acquisition card, a light source modulation module, and a computing module; The projection system, focusing lens, and curved reflector are arranged sequentially on the same optical path; The light source modulation module is connected to the projection system. The light source modulation module is configured to generate a human eye variable resolution annular speckle sequence based on the characteristics of logarithmic linear transformation and logarithmic polar coordinate mapping, and to use the human eye variable resolution annular speckle sequence to modulate the light source of the projection system. The detector is connected to the data acquisition card and is used to collect the light intensity value of the light intensity signal reflected back by the curved mirror and store the light intensity value in the data acquisition card. The computing module is connected to the data acquisition card. The computing module is configured to acquire the light intensity signal with target information received by the detector through the data acquisition card, and perform correlation calculation between the light intensity signal and the variable resolution rectangular speckle sequence corresponding to the human eye variable resolution ring speckle sequence to directly reconstruct the variable resolution panoramic ghost imaging image. The light source modulation module is further configured as follows: Initialize uniform, high-resolution annular speckle parameters similar to those of a human eye; Select the central concave region of interest of the panoramic image according to the application requirements, and set the variable resolution annular speckle parameters according to the logarithmic linear transformation. A human-eye variable resolution ring speckle model was constructed to generate a human-eye variable resolution ring speckle sequence. The light source modulation module is further configured as follows: The annular speckle pattern, mimicking the human eye, includes a central foveal blind aperture region and an imaging region. Therefore, the outer radius of the central foveal blind aperture region is determined. r 0 The inside is a blind spot. r 0 The outer region is the imaging area, which is divided into different polar diameters and polar angles. P Rings, each ring evenly distributed Q 1 pixel, and using ε The inter-ring growth factor is represented by the resolution of the panoramic ghost imaging. P × Q ; Set the coordinate direction of the expanded rectangular panoramic ghost image as follows: p - q The coordinates of the center point of the region of interest in the central concave area of ​​the panoramic ghost imaging are ( p 0, q 0), Region of Interest p Directional radius is m 0, Region of Interest q Towards radius n 0; In regions of non-interest, p Towards growth factor α 1, q Towards growth factor α 2; The entire annular speckle pattern that mimics human eye resolution has a total of U Rings, each ring is non-uniformly distributed V The resolution of variable resolution panoramic ghost imaging is expressed as pixels. U × V； Based on the initialized uniform high-resolution annular speckle parameters and the set variable-resolution annular speckle parameters, the relationship between the uniform resolution and the variable-resolution parameters is established, resulting in a mathematical model of the annular speckle with variable resolution. （1） in: express p - q In the coordinate system, from the center point of the region of interest, ... p The first direction of expansion u Layer radius, Indicates the direction from the center point of the region of interest. q The first direction of expansion v Layer radius; p ( u )and q ( v () represent the first and second halves of the annular speckle pattern that mimics human eye resolution. u Ring and the first v 1 pixel; r p(u) Represents the human eye's ability to distinguish ring speckle patterns. u The radius of the ring, rc p(u) Represents the human eye's ability to distinguish ring speckle patterns. u The center radius of the ring; `round()` is the rounding operator. θ q(v) It is the first v The angle corresponding to each pixel. ξ p(u) Representing the u The value of the ring's center radius in logarithmic polar coordinates; The computing module is further configured as follows: Set the panoramic variable resolution image resolution to U×V ,projection U×V Zhang's analogue to human eye variable resolution circular speckle sequence, in the projection of the first... i Zhang Fangren's eye can distinguish circular speckle patterns. S i At that time, the intensity value of the received light intensity signal is expressed as: （2） in T i Indicates the first projection i Zhang simulated the human eye to obtain the light intensity value of the light intensity signal from the ring speckle pattern. o ( x , y () represents a 360° omnidirectional ring target illuminated by modulated speckle. S i ( x , y ) indicates the first i Zhang can distinguish circular speckle patterns using the analogue of the human eye. x and y This represents the position coordinates of the variable-resolution annular speckle in the Cartesian coordinate system. Based on the properties of logarithmic polar coordinate mapping, the following is obtained: U×V By correlating the variable-resolution rectangular speckle sequence with the sequence of measurements detected by the detector, a rectangular variable-resolution panoramic ghost image is directly obtained: （3） in o '(u,v) represents a rectangular variable-resolution panoramic ghost image. k i The first representing the projection i Zhang Fangren's eye can distinguish circular speckle patterns. S i The corresponding variable resolution rectangular speckle, T i Representing the projection number i Zhang obtained the light intensity value of the light intensity signal from the human eye's ability to distinguish the circular speckle pattern.

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