A descattering imaging method and related device based on polarization common mode double suppression
Through the polarization common-mode dual-suppression de-scattering imaging method, the problem of weak image quality improvement in scenarios where reflective and diffuse targets coexist is solved, and target enhancement and restoration in strong scattering environments is achieved. It is suitable for complex scenarios where multiple types of targets coexist.
Patent Information
- Application Number
- CN202411762203.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-09-23
- Estimated Expiration
- 2044-12-03
AI Technical Summary
When existing polarization differential imaging technology processes scenes where reflective targets and diffuse targets coexist, noise light and useful signals are attenuated simultaneously, resulting in a slight improvement in image quality. In particular, information about diffuse targets is easily lost under strong scattering conditions.
A de-scattering imaging method based on polarization common-mode dual suppression is adopted. By acquiring multiple sets of orthogonal polarization images, the target area and the background area are delineated. The polarization angle is determined by using the orthogonal polarization analysis direction when the similarity between the target and the background is the highest. Polarization common-mode suppression and differential operations are performed, and the noise light is removed by combining the image quality feedback iterative optimization algorithm.
In complex scenes where multiple types of targets coexist, it significantly improves image contrast and clarity, has strong adaptability, can effectively enhance target information in strong scattering environments, is easy to operate and does not require prior information.
Smart Images
Figure CN119595554B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of polarization imaging, and in particular to a descattering imaging method based on polarization common-mode double suppression and a related device. Background Art
[0002] The polarization information of light is another dimension of information independent of the light intensity component. Polarization detectors can increase the dimension of acquired information and improve target acquisition accuracy. Compared to other optical imaging technologies, polarization imaging utilizes the difference in polarization characteristics between target information and noise information to separate stray light, achieving the effect of "weakening strong light and enhancing weak light." Polarization differential imaging, a representative imaging method, whether based on rotating polarizers or Stokes vector calculation, focuses on finding the polarization direction of backscattered light and filtering out noise light through common-mode suppression. However, in actual imaging environments, the polarization state of backscattered light is random due to multiple scattering and uncertain spatial distribution. Polarization differential imaging often filters out noise while also weakening the target information itself.
[0003] The basic principle of polarization differential imaging technology is to find the optimal polarization suppression angle through direct or indirect means. At the same time, the development direction of this technology is to be able to adapt to the observation scene where multiple types of targets coexist and achieve selective descattering. Xu Jingyan et al. proposed a polarization differential imaging method with weight coefficients (Study on the polarization characteristics of background light based on the Stokes vector difference method [J]. Acta Physica Sinica, 2023, 24(72)).
[0004] When previous polarization differential imaging methods deal with scenarios where reflective and diffuse targets coexist, the transmission directions of light reflected from different types of targets are randomized, and the polarization states of signal-to-noise light under strong scattering conditions are diversified after multiple scattering, resulting in inconsistent corresponding optimal polarization detection directions. The polarization differential operation will further cause the useful signal and noise signal to attenuate by the same amplitude, especially the information of diffuse targets is easily lost, and the image quality improvement is weak. Summary of the Invention
[0005] In response to the problems existing in the prior art, the present invention provides a descattering imaging method and related devices based on polarization common-mode dual suppression, which can be applied to defogging scenarios where multiple types of targets coexist, significantly improves image contrast, and has stronger environmental adaptability.
[0006] In order to solve the above technical problems, the present invention is implemented through the following technical solutions:
[0007] According to a first aspect of the present invention, a descattering imaging method based on polarization common-mode double suppression is provided, comprising:
[0008] Acquire multiple sets of orthogonal polarization images;
[0009] Delimiting a target area and a background area for each set of orthogonal polarization images, and determining the similarity between the target area and the background area of each set of orthogonal polarization images;
[0010] The polarization angle of the target reflected light is determined by using the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the target area similarity is the highest.
[0011] The polarization angle of the backscattered light is determined by using the principle that the orthogonal polarization direction produces polarization common mode suppression when the background area similarity is the highest.
[0012] Determine the polarization difference map of the backscattered light based on the orthogonal polarization image with the highest similarity in the target area;
[0013] Determine the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity to the background area;
[0014] Based on the calculation rule of polarization Stokes parameters, the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference diagram of the target reflected light and the polarization difference diagram of the backscattered light are used to determine the polarization portion of the backscattered light and the polarization portion of the target reflected light.
[0015] Select any set of orthogonal polarization images, sample and fit the background area, and iterate and optimize the image quality feedback to obtain the optimal non-polarized part of the backscattered light.
[0016] The polarized portion of the backscattered light and the unpolarized portion of the optimal backscattered light are used to remove any noise light.
[0017] In a possible implementation manner of the first aspect, demarcating the target area and the background area for each set of orthogonal polarization images is specifically as follows:
[0018] The histogram equalization method is used to scale the grayscale values of each set of orthogonal polarization images, thereby enlarging the difference between the pixels in the target area and the background area and demarcating the target area and the background area.
[0019] In a possible implementation of the first aspect, the polarization angle of the target reflected light is determined by utilizing the principle that polarization common-mode suppression is generated in orthogonal polarization analysis directions when the target region similarity is highest, specifically:
[0020] α=|P(θ)-45°|
[0021] Where α is the polarization angle of the target reflected light; P(θ) is the analyzer angle of the orthogonal polarization image when the similarity of the target area is the highest.
[0022] In a possible implementation of the first aspect, the polarization angle of the backscattered light is determined by utilizing the principle that polarization common-mode suppression is generated in orthogonal polarization analysis directions when the background region similarity is highest, specifically:
[0023]
[0024] Where β is the polarization angle of the backscattered light; is the analyzer angle of the orthogonal polarization image when the similarity of the background area is the highest.
[0025] In a possible implementation of the first aspect, determining the polarization difference map of the backscattered light based on the orthogonal polarization images with the highest similarity of the target area is specifically:
[0026] I pd-B =I θ -I θ+90°
[0027] Where, I pd-B is the polarization difference diagram of the backscattered light; I θ with I θ+90° The orthogonal polarization images together represent the target area with the highest similarity.
[0028] In a possible implementation of the first aspect, determining the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity to the background area is specifically:
[0029]
[0030] Where, I pd-D is the polarization difference diagram of the target reflected light; and The orthogonal polarization images together represent the background area with the highest similarity.
[0031] In a possible implementation of the first aspect, determining the polarized portion of the backscattered light and the polarized portion of the target reflected light by using the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference map of the target reflected light, and the polarization difference map of the backscattered light is specifically as follows:
[0032]
[0033]
[0034] Where B P is the polarization part of the backscattered light; I pd-B is the polarization difference diagram of backscattered light; D P I is the polarization part of the target reflected light; pd-Dis the polarization difference diagram of the target reflected light; α is the polarization angle of the target reflected light; β is the polarization angle of the backscattered light.
[0035] In a possible implementation of the first aspect, the non-polarized portion of the backscattered light is obtained by sampling the background area, performing fitting, and iterative optimization through image quality feedback, specifically:
[0036] The Gaussian surface fitting function based on the least squares method is used to fit and reconstruct the background area of any set of orthogonal polarization images to remove the interference of the polarization part, and the non-polarized part of the initial backscattered light is obtained;
[0037] B NP =f gas-fit (IB P -D P ) background
[0038] By introducing the adjustment coefficient and using the UIQM image quality feedback algorithm, the non-polarized portion of the initial backscattered light is iteratively optimized to obtain the optimal non-polarized portion of the backscattered light:
[0039] B NP '=εB NP (if UIQM=UIQM max )
[0040] Where B NP is the non-polarized part of the initial backscattered light; ε is the adjustment coefficient; B P is the polarization part of the backscattered light; D P is the polarization part of the target reflected light; I is the intensity image obtained by summing each set of orthogonal polarization images; f gas-fit () background is the Gaussian surface fitting function based on the least squares method; B NP ' is the unpolarized part of the optimal backscattered light.
[0041] According to a second aspect of the present invention, a descattering imaging method based on polarization common-mode double suppression is provided, comprising:
[0042] An acquisition module, used for acquiring multiple sets of orthogonal polarization images;
[0043] a similarity determination module, configured to delineate a target area and a background area for each set of orthogonal polarization images, and determine the similarity between the target area and the background area of each set of orthogonal polarization images;
[0044] The target reflected light polarization angle determination module is used to determine the polarization angle of the target reflected light by utilizing the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the target area similarity is the highest;
[0045] A backscattered light polarization angle determination module is used to determine the polarization angle of backscattered light by utilizing the principle that polarization common mode suppression is generated in orthogonal polarization analysis directions when the background area similarity is highest;
[0046] a target polarization difference map determination module, configured to determine a polarization difference map of backscattered light based on the orthogonal polarization image with the highest similarity in the target area;
[0047] A backscattered light polarization difference map determination module is used to determine the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity to the background area;
[0048] a polarization portion determination module, configured to determine the polarization portion of the backscattered light and the polarization portion of the target reflected light based on a calculation rule of polarization Stokes parameters and using the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference map of the target reflected light, and the polarization difference map of the backscattered light;
[0049] The module for determining the non-polarized portion of the optimal backscattered light is used to select any set of orthogonal polarization images, sample the background area, and obtain the non-polarized portion of the optimal backscattered light by fitting and optimizing;
[0050] The noise light removal module is used to remove all noise light by using the polarized part of the backscattered light and the non-polarized part of the optimal backscattered light.
[0051] According to a third aspect of the present invention, a device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the descattering imaging method based on polarization common-mode double suppression is implemented.
[0052] Compared with the prior art, the present invention has at least the following beneficial effects:
[0053] The present invention provides a descattering imaging method based on polarization common-mode dual suppression. Starting from the difference in polarization characteristics between the target reflected light and the backscattered light, the dual polarization common-mode suppression is used to achieve accurate estimation of the polarized part and the non-polarized part of the backscattered light. Combined with the image quality feedback iterative optimization algorithm, the denoising effect is significant. Since the convergence of the polarization distribution of the reflected light of reflective targets and diffuse targets is taken into account, the special dimension information of polarization is maximized. The operation is simple and does not require prior information. Therefore, it can be applied to complex scenes where multiple types of targets coexist. It has stronger environmental adaptability and can meet the needs of target enhancement and restoration in strong scattering environments. It has broad application prospects.
[0054] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0055] In order to more clearly illustrate the technical solutions in the specific embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the specific embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0056] Figure 1 This is a flow chart of a de-scattering imaging method based on polarization common-mode dual suppression according to an embodiment of the present invention;
[0057] Figure 2 Polarization direction decomposition diagram of target and background scattered light polarization common mode double suppression;
[0058] Figure 3 Schematic diagram of the active polarization imaging system in turbid water environment;
[0059] Figure 4 is a diagram of the descattering process of an embodiment;
[0060] Figure 5 A comparison chart of the dehazed image restored by the embodiment and the images restored by other methods.
[0061] In the figure: 1. Laser light source, 2. Beam expander, 3. Polarization generator, 4. Scattering medium container, 5. Detection target, 6. Polarization analyzer, 7. Image acquisition device, 8. Image processing and storage module, 9. Image display device. DETAILED DESCRIPTION
[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.
[0063] like Figure 1 As shown, an embodiment of the present invention provides a descattering imaging method based on polarization common mode dual suppression, which specifically includes the following steps:
[0064] Step 1: Acquire multiple sets of orthogonal polarization images.
[0065] It should be understood that, among the multiple groups of orthogonal polarization images, each group of orthogonal polarization images includes two images in orthogonal polarization directions, namely, a 0° polarization direction image and a 90° polarization direction image, or any two images in perpendicular polarization directions.
[0066] For example, by electrically rotating the polarizer imaging detector, with the angles of the PSA at 45° and 135° to the incident polarization direction as the center, multiple sets of orthogonal polarization images can be obtained [I min-1 …I min-n ] and [I max-1 …I max-n ]. Multiple sets of orthogonal polarization images [I min-1 …I min-n ] and [I max-1 …I max-n ], mainly considering the reflection type target and the diffuse type target in the specific angle of the orthogonal detection will appear: D θ -D θ+90° = 0, backscattered light will also appear and
[0067] Step 2: Delineate the target area and the background area for each set of orthogonal polarization images, and calculate the similarity between the target area and the background area of each set of orthogonal polarization images.
[0068] Preferably, a histogram equalization method is used to scale the grayscale values of each set of orthogonal polarization images, thereby increasing the difference between the pixels in the target area and the background area, and demarcating the target area from the background area. That is, a histogram equalization method is used to preprocess each set of orthogonal polarization images to demarcate the target area from the background area. It should be noted that histogram equalization is an image processing technique used to enhance image contrast. By adjusting the image's grayscale histogram, the grayscale value distribution is made more uniform, thereby improving the image's visual effect.
[0069] For example, the similarity between the target region and the background region can be measured by calculating the structural similarity index (SSIM) of the two regions. When the SSIM is maximum, it means that the grayscale distribution of the two images is similar, which indirectly indicates that the spatial distribution of the electric field components is similar.
[0070] Step 3: Determine the polarization angle of the target reflected light by utilizing the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the target area similarity is the highest.
[0071] That is, based on the principle that polarization common mode suppression occurs when the similarity of the target area is the highest, the orthogonal polarization image with the highest similarity of the target area is selected to determine the polarization angle of the target reflected light.
[0072] In this embodiment, the polarization angle of the target reflected light is determined as follows:
[0073] α=|P(θ)-45°|
[0074] Where α is the polarization angle of the target reflected light; P(θ) is the analyzer angle of the orthogonal polarization image when the similarity of the target area is the highest.
[0075] Step 4: Determine the polarization angle of the backscattered light by using the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the background area similarity is the highest.
[0076] Similarly, based on the principle that polarization common mode suppression occurs when the similarity of the background area is the highest, the orthogonal polarization image with the highest similarity of the background area is selected to determine the polarization angle of the backscattered light.
[0077] In this embodiment, the polarization angle of the backscattered light is determined as follows:
[0078]
[0079] Where β is the polarization angle of the backscattered light; is the analyzer angle of the orthogonal polarization image when the similarity of the background area is the highest.
[0080] By determining the polarization angle of the target reflected light and the polarization angle of the backscattered light, the polarization direction that can maximize the suppression of noise (backscattered light) while retaining the target information is found.
[0081] Step 5: Determine the polarization difference map of the backscattered light based on the orthogonal polarization image with the highest similarity in the target area.
[0082] In this embodiment, the target polarization difference map is determined as follows:
[0083] I pd-B =I θ -I θ+90°
[0084] Where, I pd-B is the polarization difference diagram of the backscattered light; I θ with I θ+90° The orthogonal polarization images with the highest similarity jointly represent the target area.
[0085] Step 6: Determine the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity to the background area.
[0086] In this embodiment, the backscattered light polarization difference map is determined as follows:
[0087]
[0088] Where, I pd-D is the polarization difference diagram of the target reflected light; and The orthogonal polarization images with the highest similarity jointly represent the background area.
[0089] That is, based on dual-polarization common-mode suppression, the directions of target and backscattered light polarization common-mode suppression are found respectively, and the target polarization difference map and the backscattered light polarization difference map can be obtained through two polarization difference operations.
[0090] Step 7: Based on the calculation rule of the Stokes parameter, the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference diagram of the target reflected light, and the polarization difference diagram of the backscattered light are used to determine the polarization portion of the backscattered light and the polarization portion of the target reflected light.
[0091] That is [I pd-B ,I pd-D After the four parameters [α, β] are obtained, the polarization portion of the backscattered light and the polarization portion of the target reflected light are determined. In this embodiment, the polarization portion of the backscattered light and the polarization portion of the target reflected light are determined as follows:
[0092]
[0093]
[0094] Where B P is the polarization part of the backscattered light; I pd-B is the polarization difference diagram of backscattered light; D P I is the polarization part of the target reflected light; pd-D is the polarization difference diagram of the target reflected light; α is the polarization angle of the target reflected light; β is the polarization angle of the backscattered light.
[0095] Step 8: Select any set of orthogonal polarization images, sample the background area, perform fitting, and iteratively optimize the image quality feedback to obtain the optimal non-polarized portion of the backscattered light.
[0096] That is, the non-polarized component of the post-optimal backscattered light is extracted from the background area for subsequent noise removal.
[0097] In this embodiment, the non-polarized portion of the backscattered light is obtained by sampling the background area, fitting, and iterative optimization through image quality feedback, as follows:
[0098] Firstly, a Gaussian surface fitting function based on the least squares method is used to fit and reconstruct the background area of any set of orthogonal polarization images to remove the interference of the polarization part, and obtain the non-polarized part of the initial backscattered light;
[0099] B NP =f gas-fit (IB P -D P ) background
[0100] Finally, since the unpolarized portion of the initial backscattered light is obtained by fitting and reconstruction, an adjustment coefficient is introduced. Based on the image quality feedback algorithm of the Underwater Image Quality Measure (UIQM), the unpolarized portion of the initial backscattered light is iteratively optimized to obtain the optimal unpolarized portion of the backscattered light:
[0101] B NP '=εB NP (if UIQM=UIQM max ).
[0102] Where B NP is the non-polarized part of the initial backscattered light; ε is the adjustment coefficient; B P is the polarization part of the backscattered light; I is the intensity image obtained by summing each set of orthogonal polarization images; f gas-fit () background is the Gaussian surface fitting function based on the least squares method; B NP ' is the unpolarized part of the optimal backscattered light.
[0103] Step 9: Use the polarized part of the backscattered light and the non-polarized part of the optimal backscattered light to remove the noise light, thereby obtaining a clear image.
[0104] In other words, the polarized portion of backscattered light and the unpolarized portion of optimal backscattered light are used to remove noise from the image. This minimizes noise caused by backscattered light while preserving target information, thereby improving image contrast and clarity.
[0105] The present invention will be described in detail below with reference to the embodiments.
[0106] The theoretical basis of the present invention is:
[0107] When active polarization detection is used to image underwater targets, the light information received by the detector can be divided into two parts: one is the backscattered light B from the medium, and the other is the reflected light D from the target. The total light intensity received by the detector can be expressed as:
[0108] I(x,y)=D(xy)+B(x,y)
[0109] Where (x,y) represents the pixel position in the image.
[0110] based on Figure 2 Based on the principle of polarization common-mode double suppression, a descattering imaging method based on polarization common-mode double suppression in this embodiment is as follows:
[0111] By rotating the angle of the polarization analyzer PSA, we can first obtain orthogonal polarization images at 45° and 135° respectively. Based on this, with a change interval of 1°, a total of 30 sets of orthogonal polarization images are obtained, which are recorded as:
[0112] I || =[I 30° ,I 31° ,I 32° …I 60° ]
[0113] I⊥=[I 120° ,I 121° ,I 122° …I 150° ]
[0114] The obtained orthogonal polarization images are first subjected to histogram equalization to define the target area. The SSIM structural similarity parameters (similarity) of the target area of 30 sets of orthogonal polarization images are calculated, and the polarization analysis angle θ corresponding to the maximum similarity is found.
[0115] At this time, the polarization angle of the target light is α = θ - 45°, and the polarization difference image is I pd-D , further deduction:
[0116]
[0117] According to the decomposition of the medium light in different polarization directions, we can get:
[0118] The background area of 30 sets of orthogonal polarization images is delineated, and the SSIM of the background area is calculated. The direction of the common-mode suppression of the backscattered light polarization is found without considering the attenuation of the target information. The judgment method is similar to that of the target light. In this case, the polarization angle β direction of the polarized part in the backscattered light is determined.
[0119] Since the backscattered light is divided into polarized part and non-polarized part, after the polarized part B is determined, the non-polarized part undergoes multiple scattering, so it can be based on B NP =f gas-fit (IB P -D P ) background Sure;
[0120] Introducing an iterative optimization algorithm based on UIQM image quality feedback with an adjustment coefficient: D = IB P -εB NP (if UIQM=UIQM max ), and finally obtain clear target information.
[0121] like Figure 3The figure shows an active polarization imaging system for turbid water. This device is an example of an imaging device using the method proposed in the present invention. A laser light source 1 passes through a beam expander 2 and enters a polarization generator 3, generating a horizontally polarized beam that illuminates a target 5 in the turbid water. The reflected light signal passes through a fixed polarization analyzer 6, where the polarization information is captured by an image acquisition device 7. An image processing and storage module 8 collects camera data, processes and stores the image using the method proposed in the present invention, and displays the processed target image in real time on an image display device 9. A glass water tank covered with black absorbent cloth serves as the scattering medium container 4, and a high-transmittance quartz wall serves as the incident window on the incident side. A scattering water body is formed by mixing skim milk and deionized water, with a turbidity of 30 NTU. In the experiment, a metal ruler and a bionic fish were used as targets. The steel ruler is made of metal and has a smooth surface, making it a reflective target, while the bionic fish has a rough, scale-covered surface. The combination of the two forms a composite scene. The detection distance was set at 80 cm, and the method proposed in the present invention was used for processing.
[0122] like Figure 4 As shown, 601 is passed Figure 3 Multiple sets of orthogonal polarization images acquired by the active polarization imaging system: 602 and 603 are schematic diagrams of the target area and the background area after area division; 604 is the differential image of the backscattered light after common-mode suppression of the target light; 605 is the differential image of the target light after common-mode suppression of the backscattered light; 606 is the polarized part of the backscattered light obtained by calculation; 607 is the non-polarized part of the backscattered light obtained by calculation; 608 is the target information image after noise removal restored by the present invention.
[0123] like Figure 5By comparing the results of intensity imaging, polarization differential imaging, and the results after processing with the method of the present invention, it can be found that the contrast and clarity of the restored image of the method of the present invention are higher than other methods. Descattering is achieved for both reflective steel rulers and diffuse types, while traditional polarization differential imaging leads to the loss of target information. Based on the inconsistency of the common-mode suppression of polarization of the target and background, the present invention accurately solves the backscattering noise through two polarization differences to obtain a clear target image. It utilizes the polarization characteristics of the target reflected light. Compared with the previous polarization differential imaging technology that only focuses on the backscattered light, it realizes the accurate estimation of the medium scattered light from the perspective of the common-mode suppression of the polarization of the target reflected light for the first time, and the restoration accuracy is higher. It has good adaptability to the observation scene of turbid media where diffuse and reflective targets coexist, is close to practical applications, and is a defogging imaging system with simple operation and high feasibility. Specifically, it focuses on the observation scenarios where reflective and diffuse targets coexist in turbid media. By determining two sets of orthogonal polarization analysis directions, dual polarization common-mode suppression of target information and backscattered information is achieved respectively. The polarization part of the backscattered light is indirectly inverted and solved. The background light in the non-target area is used as the boundary constraint to fit and reconstruct the non-polarized part of the backscattered light. The image quality feedback mechanism is introduced to maximize the descattering effect. Compared with the traditional polarization difference noise solution, it is more accurate and can be applied to defogging scenarios where multiple types of targets coexist. The image contrast is significantly improved and the environmental adaptability is stronger.
[0124] In another embodiment of the present invention, a de-scattering imaging method based on polarization common-mode dual suppression is provided, which is used to implement the de-scattering imaging method based on polarization common-mode dual suppression, and specifically includes:
[0125] The acquisition module is used to acquire multiple sets of orthogonal polarization images.
[0126] The similarity determination module is used to delineate a target area and a background area for each set of orthogonal polarization images, and determine the similarity between the target area and the background area of each set of orthogonal polarization images.
[0127] The target reflected light polarization angle determination module is used to determine the polarization angle of the target reflected light by utilizing the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the target area similarity is the highest.
[0128] The backscattered light polarization angle determination module is used to determine the polarization angle of the backscattered light by utilizing the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the background area similarity is the highest.
[0129] The target polarization difference map determination module is used to determine the polarization difference map of the backscattered light based on the orthogonal polarization image with the highest similarity in the target area.
[0130] The backscattered light polarization difference map determination module is used to determine the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity to the background area.
[0131] The polarization part determination module is used to determine the polarization part of the backscattered light and the polarization part of the target reflected light based on the calculation rule of the polarization Stokes parameter and using the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference map of the target reflected light and the polarization difference map of the backscattered light.
[0132] The module for determining the non-polarized portion of the optimal backscattered light is used to select any set of orthogonal polarization images, obtain the non-polarized portion of the optimal backscattered light by sampling the background area, fitting and optimizing.
[0133] The noise light removal module is used to remove all noise light by using the polarized part of the backscattered light and the non-polarized part of the optimal backscattered light.
[0134] All relevant contents of each step involved in the embodiment of the aforementioned de-scattering imaging method based on polarization common-mode dual suppression can be referred to the functional description of the functional modules corresponding to the de-scattering imaging device based on polarization common-mode dual suppression in the embodiment of the present invention, and will not be repeated here. The division of modules in the embodiment of the present invention is schematic and is only a logical functional division. There may be other division methods in actual implementation. In addition, the functional modules in various embodiments of the present invention can be integrated into one processor, or can exist physically separately, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules.
[0135] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory, wherein the memory is used to store a computer program, the computer program including program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of a descattering imaging method based on polarization common-mode dual suppression.
[0136] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the terminal's operating system. In addition, the storage space also stores one or more instructions suitable for being loaded and executed by the processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the above-mentioned embodiment regarding a descattering imaging method based on polarization common-mode dual suppression.
[0137] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0138] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0139] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0140] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.
[0141] In the present invention, the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction.
[0142] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.
Claims
1. A de-scattering imaging method based on polarization common mode double suppression, characterized in that: include: Acquire multiple sets of orthogonal polarization images; Delimiting a target area and a background area for each set of orthogonal polarization images, and determining the similarity between the target area and the background area of each set of orthogonal polarization images; The polarization angle of the target reflected light is determined by using the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the target area similarity is the highest. The polarization angle of the backscattered light is determined by using the principle that the orthogonal polarization direction produces polarization common mode suppression when the background area similarity is the highest. Determine the polarization difference map of the backscattered light based on the orthogonal polarization image with the highest similarity in the target area; Determine the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity to the background area; Based on the calculation rule of polarization Stokes parameters, the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference diagram of the target reflected light and the polarization difference diagram of the backscattered light are used to determine the polarization portion of the backscattered light and the polarization portion of the target reflected light; Select any set of orthogonal polarization images, sample and fit the background area, and iterate and optimize the image quality feedback to obtain the optimal non-polarized part of the backscattered light, specifically: The Gaussian surface fitting function based on the least squares method is used to fit and reconstruct the background area of any set of orthogonal polarization images to remove the interference of the polarization part, and the non-polarized part of the initial backscattered light is obtained; By introducing the adjustment coefficient and using the UIQM image quality feedback algorithm, the non-polarized portion of the initial backscattered light is iteratively optimized to obtain the optimal non-polarized portion of the backscattered light: Where, is the unpolarized part of the initial backscattered light; is the adjustment coefficient; is the polarized portion of the backscattered light; is the polarized portion of the light reflected from the target; Intensity image obtained by summing each set of orthogonal polarization images; is the Gaussian surface fitting function based on the least squares method; is the unpolarized portion of the optimal backscattered light; The polarized portion of the backscattered light and the unpolarized portion of the optimal backscattered light are used to remove any noise light.
2. The descattering imaging method based on polarization common mode double suppression according to claim 1, characterized in that: The target area and the background area are delineated for each set of orthogonal polarization images, specifically: The histogram equalization method is used to scale the grayscale values of each set of orthogonal polarization images, thereby enlarging the difference between the pixels in the target area and the background area and demarcating the target area and the background area.
3. The descattering imaging method based on polarization common mode double suppression according to claim 1, characterized in that: The principle of polarization common mode suppression generated by orthogonal polarization analysis directions when the target area similarity is the highest is used to determine the polarization angle of the target reflected light, specifically: Where, is the polarization angle of the light reflected from the target; is the analyzer angle of the orthogonal polarization image when the similarity of the target area is the highest.
4. The de-scattering imaging method based on polarization common mode double suppression according to claim 1, characterized in that: The principle of polarization common mode suppression generated by orthogonal polarization analysis directions when the background area similarity is the highest is used to determine the polarization angle of the backscattered light, specifically: Where, is the polarization angle of the backscattered light; is the analyzer angle of the orthogonal polarization image when the similarity of the background area is the highest.
5. The descattering imaging method based on polarization common mode double suppression according to claim 1, characterized in that: The polarization difference map of the backscattered light is determined based on the orthogonal polarization image with the highest similarity in the target area, specifically: Where, is the polarization difference diagram of the backscattered light; and The orthogonal polarization images together represent the target area with the highest similarity.
6. The descattering imaging method based on polarization common mode double suppression according to claim 1, characterized in that: The polarization difference map of the target reflected light is determined based on the orthogonal polarization image with the highest similarity to the background area, specifically: Where, is the polarization difference diagram of the target reflected light; and The orthogonal polarization images together represent the background area with the highest similarity.
7. The descattering imaging method based on polarization common mode double suppression according to claim 1, characterized in that: The method of determining the polarization portion of the backscattered light and the polarization portion of the target reflected light by using the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference diagram of the target reflected light, and the polarization difference diagram of the backscattered light is specifically as follows: Where, is the polarized portion of the backscattered light; is the polarization difference diagram of the backscattered light; is the polarized portion of the light reflected from the target; is the polarization difference diagram of the target reflected light; is the polarization angle of the light reflected from the target; is the polarization angle of the backscattered light.
8. A de-scattering imaging device based on polarization common mode double suppression, characterized in that: A descattering imaging method based on polarization common-mode dual suppression for implementing any one of claims 1 to 7, comprising: An acquisition module, used for acquiring multiple sets of orthogonal polarization images; a similarity determination module, configured to delineate a target area and a background area for each set of orthogonal polarization images, and determine the similarity between the target area and the background area of each set of orthogonal polarization images; The target reflected light polarization angle determination module is used to determine the polarization angle of the target reflected light by utilizing the principle that the orthogonal polarization analysis directions produce polarization common mode suppression when the target area similarity is the highest; A backscattered light polarization angle determination module is used to determine the polarization angle of backscattered light by utilizing the principle that polarization common mode suppression is generated in orthogonal polarization analysis directions when the background area similarity is highest; a target polarization difference map determination module, configured to determine a polarization difference map of backscattered light based on the orthogonal polarization image with the highest similarity in the target area; A backscattered light polarization difference map determination module is used to determine the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity to the background area; a polarization portion determination module for determining the polarization portion of the backscattered light and the polarization portion of the target reflected light based on a calculation rule of polarization Stokes parameters and using the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference map of the target reflected light, and the polarization difference map of the backscattered light; The module for determining the non-polarized portion of the optimal backscattered light is used to select any set of orthogonal polarization images, sample the background area, and obtain the non-polarized portion of the optimal backscattered light by fitting and optimizing; The noise light removal module is used to remove all noise light by using the polarized part of the backscattered light and the non-polarized part of the optimal backscattered light.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the descattering imaging method based on polarization common-mode double suppression is implemented as described in any one of claims 1 to 7.