38 results about "Error diffusion" patented technology

The invention relates to the technical field of image precision optimization, in particular to a surveying and mapping image mathematical precision evaluation method based on dense point cloud matching, which comprises the following steps: acquiring and preprocessing image data, synthesizing an image gradient modulus length and a maximum principal curvature, and introducing a surface normal vector partial derivative to obtain a surface normal vector partial derivative; calculating a curvature-driven depth discretization step length, and generating an initial point cloud data set; constructing a point cloud complex network structure diagram and calculating the topology durability of a point cloud topology structure to obtain an optimized point cloud data set; based on the optimized point cloud data set, in combination with the target image information, the adaptive curvature gradient weight and the error diffusion control value, constructing an adaptive matching cost function, and calculating a point cloud matching cost matrix; and calculating an optimal point cloud transformation matrix based on the point cloud matching cost matrix. According to the surveying and mapping image mathematical precision evaluation method based on dense point cloud matching, low-texture region point cloud matching error suppression and structure optimization of high-curvature region point cloud on a complex curved surface are realized.

The invention discloses a sparse visual angle three-dimensional reconstruction method and system based on voxel grid constraint, and belongs to the technical field of visual three-dimensional reconstruction. Constructing a three-dimensional voxel grid of a self-adaptive scene scale based on point cloud distribution, and dividing the point cloud to the corresponding voxel grid; fusing the geometric features of the fast point feature histogram and the confidence score in the grid, generating a geometric confidence comprehensive measure, and screening key points to initialize Gaussian primitives; designing a voxel grid constrained gradient clipping strategy, limiting Gaussian primitive error diffusion through a distance attenuation coefficient, and adaptively optimizing grid distribution in combination with a dynamic grid deletion and addition mechanism; and finally, carrying out iterative training by using a 3D Gaussian splash radiation field loss function to realize high-fidelity static scene reconstruction under a sparse view angle. According to the method, scene geometric priori is introduced, an optimization strategy based on voxel grid constraint is designed to effectively control excessive diffusion or drift of Gaussian primitives, generation of artifacts is reduced, and meanwhile, the situation that robustness is reduced due to the influence of priori quality is avoided.

The invention discloses a medical image segmentation method based on prior guide residual diffusion. The method comprises the following steps: collecting and preprocessing an original input image; obtaining a gold standard segmentation mask of the original input image; converting the gold standard segmentation mask into a single thermal vector field; constructing a priori guidance residual diffusion segmentation network comprising a priori predictor network and a diffusion denoising network; inputting the original input image into the prior predictor network to generate prior prediction; inputting the prior prediction and the one-thermal vector field into a diffusion denoising network for residual denoising, and generating a speed target; training a priori guided residual diffusion segmentation network according to a speed target, including: independently training a priori predictor network until convergence; freezing parameters of a priori predictor network, constructing a priori-guided diffusion process, and training a diffusion denoising network to learn mapping from a noise state to a residual target; inputting a to-be-segmented medical image into the trained priori guided residual diffusion segmentation network; and generating a probability segmentation map.

The invention discloses a self-adaptive underwater single-pixel imaging technology based on Fourier modulation, belongs to the technical field of computational optical imaging, is used for ocean detection and improvement of ocean surveillance and defense efficiency, and adopts a self-designed LED array to replace an expensive DMD and a four-quadrant detector composed of common photodiodes to replace an expensive barrel detector. And high-speed illumination and parallel acceptance are realized while the cost is greatly reduced. The technical route comprises a high-speed underwater single-pixel imaging device, a high-speed Fourier single-pixel imaging algorithm and an adaptive sampling strategy based on Fourier single-pixel imaging. The high-speed single-pixel imaging device comprises a self-designed LED array light modulation module, a converging lens module and a receiving module. The high-speed Fourier single-pixel imaging algorithm comprises a binarization algorithm based on error diffusion and an algorithm based on adaptive compressed sensing. According to the innovative self-adaptive sampling strategy based on Fourier single-pixel imaging, a specific sampling path is generated by fusing circular sampling and random sampling according to the characteristics of an image in a Fourier spectrum, so that Fourier coefficients which have great influence on image quality are acquired as much as possible under water with low sampling rate and high turbidity, and the image quality is improved. Therefore, the high-efficiency imaging of the underwater target object is realized, and the imaging speed and quality are both considered.

The embodiment of the invention provides a bridge deformation monitoring method and system based on image intelligent analysis, and belongs to the technical field of bridge deformation monitoring. The method comprises the following steps: uniformly connecting pixel observation of each frame of target, an anchor point selection result, a pose solvable state, a pose resolving result, an unsolvable time period record, a pixel drift compensation amount and structure displacement output in series by using a space target coordinate anchor chain; and carrying out constraint regression on pixel drift in an unsolvable time period through anchor chain closing correction so as to recover continuity of structure displacement output and reduce gap error diffusion. Therefore, the space target coordinate anchor chain is constructed, and the anchor chain closing correction is executed in the gap stage in which the pose cannot be solved, so that the bridge deformation result has continuity, judgability and traceability, and the bridge deformation result can adapt to special scenes of long-distance strabismus, strong jitter, strong light reflection and short-time shielding.

The present application relates to the technical field of inventory management, in particular to a stone surface intelligent warehouse management method based on machine vision, comprising the following steps: multi-modal sensor acquisition stone image temperature distance data, gray quantization and time difference feature set generation, synchronous calibration, Kalman filter fusion and dynamic weight adjustment, output positioning result and analysis of reflectance coefficient adjustment light source, optimization of light field parameter collection texture reconstruction three-dimensional model and error correction update, based on model extraction position information correction inventory strategy generates inventory management scheme, in the present application, through multi-source sensor cooperative acquisition fusion, positioning consistency is kept, error diffusion is avoided, illumination monitoring and reflection adjustment optimize light field, ensure stone texture complete and stable, three-dimensional model dynamic reconstruction and correction real-time update feature synchronous storage state, improve stacking level and goods location recognition accuracy, enhance inventory information reliability and consistency.

The invention relates to the technical field of inventory management, in particular to a stone layout intelligent warehouse management method based on machine vision, which comprises the following steps: acquiring stone image temperature and distance data through multi-modal sensing, generating a feature set through graying quantization and time difference, performing Kalman filtering fusion after synchronous calibration, and dynamically adjusting the weight. And outputting a positioning result, analyzing a reflection coefficient, adjusting a light source, optimizing a light field parameter, collecting a texture reconstruction three-dimensional model, correcting and updating an error, extracting position information based on the model, correcting an inventory strategy, and generating an inventory management scheme. The light field is optimized through illumination monitoring and reflection adjustment to ensure that the stone texture is complete and stable, the feature synchronous storage state is updated in real time through three-dimensional model dynamic reconstruction and correction, the stacking level and goods allocation recognition accuracy is improved, and the inventory information reliability and consistency are enhanced.

An image processing apparatus that converts first image data having a first gradation number into second image data having a second gradation number smaller than the first gradation number by using an error diffusion method. The image processing apparatus includes an edge angle detection processing section that detects an angle of a fine line included in the first image data, and a threshold determination processing section that determines a threshold of the error diffusion method for each pixel included in the first image data based on the angle of the fine line.

The invention discloses an image dithering optimization method and device and display equipment, and the method comprises the steps: 1, providing at least one matrix set, and each matrix set at least comprises two error diffusion matrixes with different structures; step 2, acquiring image data, and performing pixel-by-pixel error diffusion processing on at least one target area of the image data; wherein a matrix set and a matrix selection rule corresponding to the matrix set are configured for each target area, and at least two different error diffusion matrixes are selected and used from the configured matrix set in the process of processing a plurality of continuous pixels of the target area according to the matrix selection rule; and step 3, outputting the processed image data. According to the invention, random diffusion of pixel errors is realized, generation of regular patterns is effectively reduced, and the naturalness of the image is improved.

The present application provides a circuit device and a display device. The circuit device includes: a color reduction circuit that performs color reduction processing from input image data of which pixel data is m bits to color-reduced image data of which pixel data is n bits, and performs error diffusion processing to a spatial direction or a temporal direction in the color reduction processing; a storage circuit that stores the color-reduced image data; and an image conversion circuit that outputs output image data by performing image conversion processing as at least one of mapping processing or scaling processing on the color-reduced image data stored in the storage circuit, in which interpolation processing of generating pixel data of the output image data from a plurality of pixel data of the color-reduced image data is performed.

The application provides a gray scale promotion method of an electrowetting display, which comprises the following steps: firstly, preprocessing the input image; then, performing edge segmentation on the image to obtain image edge and non-edge regions; respectively, performing detail processing on the edge and non-edge regions; performing adaptive error diffusion processing on the image according to the image type; and performing image classification according to the image gray scale characteristics. The method performs weighted emphasis on the edge region, introduces pixel neighborhood similarity and local visual deviation into the non-edge region to retain the texture of the image smooth region, finally, fuses the gray scale image with enhanced details, and performs adaptive error diffusion according to the image classification result to obtain a 64 gray scale image suitable for the electrowetting electronic paper display. The application can make the electrowetting display with 64 gray scales reproduce an image with 256 gray scales, and the image display is well adapted to the visual perception of the human eye, and the processed image is highly consistent with the original image, and the image details and textures are restored on the electrowetting display.

This invention provides a halftone processing method for inkjet printing based on cross-gradient halftone screens, comprising: S1, color space conversion; S2, dot basic unit design; S3, halftone screen generation and filling; S4, error diffusion processing; and S5, image compositing. The advantages of this method in terms of fundamental technology are: accurate color space conversion; stable error diffusion control; and a reliable channel processing mechanism. The advantages of this method in terms of innovation are: cross-line halftone dots provide better directionality; gradient transitions reduce graininess; and overlapping filling ensures smoothness.

This invention provides a method, apparatus, and device for generating a frequency modulation (FM) halftone screen in halftone image processing. The method includes: obtaining a target threshold matrix, a nearest neighbor aggregation operator matrix, and an inter-point diffusion operator matrix to be assigned values; obtaining an intermediate matrix based on the nearest neighbor aggregation operator matrix and the inter-point diffusion operator matrix; assigning a value to an item in the target threshold matrix based on the value of each item in the intermediate matrix; iterating through the nearest neighbor aggregation operator matrix and the inter-point diffusion operator matrix until every item in the target threshold matrix has been assigned a value, obtaining a target threshold matrix with assigned values; and generating an FM halftone screen based on the target threshold matrix with assigned values. This invention improves the efficiency of FM halftone conversion of digital images and solves the problem of low efficiency caused by traditional error diffusion algorithms.

The present application discloses an image processing method and system for a laser printer, which relates to the field of image processing technology. It performs printer DPI matching on single-channel image data to eliminate detail loss and edge distortion caused by resolution differences, and then perceives local feature differences in the image through local frequency analysis to determine adaptive processing strategies for different regions. Based on this, blue noise dithering and error diffusion technology are used for binarization processing respectively. The former is used to retain the sharpness of high-frequency textures, and the latter is used to optimize the smooth transition of low-frequency regions. Finally, the two binarization processing results are linearly interpolated and mixed according to the results of local frequency analysis to achieve a precise combination of processing advantages in different regions. In this way, through the coordination of multiple links, the image detail retention and artifact suppression are effectively balanced, and the output quality and adaptability of laser printers in complex scenes such as graphics, texts, and photos are improved.

The present application relates to the technical field of image annotation registration, and particularly relates to a remote sensing image registration method, and the present application proposes the following scheme: through change detection on post-disaster remote sensing images and historical annotation data, an area is divided into a first area with changed ground object morphology and a second area with stable ground object morphology; in the first area, local structure features are extracted based on ground object deformation information and adaptive anchor point matching is performed with direction and range constraints, and in the second area, global geometric features are extracted based on historical annotation data and global anchor point matching is performed; annotation accuracy registration data is generated by comprehensively matching local and global matching results, and accurate mapping of historical annotation to a new base map is realized. The present application takes into account the local authenticity of the changed area and the overall consistency of the stable area, effectively avoiding error propagation problems caused by artificial block-by-block correction and single global registration.

The application provides a fine and fast large-scale phase unwrapping method compatible with multiple optimization models. Before residual point clustering, a mask is generated by using a pseudo-coherence coefficient, and residual points covered by the mask are used as initial residual point classes to improve the clustering speed; in the clustering process, according to the envelope sparsity theorem, the residual points and the initial residual point classes formed by the mask are subjected to clustering analysis, so that the local optimal solution and the global optimal solution are consistent or approximately consistent, and the error diffusion of a low-quality area to a high-quality area is prevented; an efficient convex hull marking clustering area is adopted to quickly solve the area outside the convex hull; according to user requirements, a suitable optimization model can be selected to locally solve the area inside the convex hull; the high-quality area and the low-quality area inside the convex hull are more finely divided, the solution of the low-quality area inside the convex hull is abandoned, and meanwhile, the high-quality area can still be effectively solved.

An image forming apparatus capable of forming an image on a perforated sheet includes an image forming portion for forming a toner image on a sheet, an image processing portion for performing image processing, on acquired image data, of at least either one of screen processing and error diffusion processing, and a controller for controlling the image processing portion to form the toner image on the basis of the image data processed by the image processing portion. In a case that the sheet on which the toner image is to be formed is the perforated sheet, the image processing portion performs the error diffusion processing on the acquired image data.

The invention discloses an image information anti-counterfeiting encryption method and application thereof in transparent plastic package anti-counterfeiting encryption, and the image information anti-counterfeiting encryption method comprises the steps: extracting a gray scale coding matrix of original image information, and carrying out the fuzzy processing of the gray scale coding matrix of each channel, and obtaining a fuzzy image information matrix; generating a random fuzzy matrix for each channel by using a random function; generating an encryption share matrix based on each channel fuzzy image information matrix and the random fuzzy matrix; performing error diffusion and channel combination on the random fuzzy matrix and the encryption share matrix of each channel to generate a first encryption share and a second encryption share; superposing the first encryption share and the second encryption share to obtain a decrypted image approximate to the target image; the method realizes lossless encryption of gray and color images, ensures that the encrypted image is consistent with the original image in size, is simple and convenient in encryption process and visual in decryption, and is adaptive to a transparent plastic bag printing process.

The invention relates to the technical field of environmental monitoring, in particular to a gas diffusion imaging processing method considering path confidence correction, which comprises the following steps of: calculating link input, establishing a relationship between observation and concentration by adopting a nonlinear diffusion imaging model, and improving inversion stability by adopting path length estimation and confidence correction. A reliable concentration field is obtained through energy functional optimization; based on the concentration sequence and the image sequence, combining brightness consistency and conservation error to estimate a wind speed field, and then using physical stepping and learning residual errors to obtain an evolution operator with physical and data constraints to predict the concentration of a plurality of steps in the future; a prediction module is embedded into system dynamics, the influence of equipment actions on the concentration is described, a risk measurement design and an optimization control strategy are configured, and a key area is controlled to keep the safe concentration under various disturbances. According to the scheme, the problems of unstable imaging error and diffusion prediction, uncontrollable intervention and the like in the traditional technology are solved.

To provide an image processing apparatus for generating halftone image data in which image quality is hardly deteriorated by reducing a difference in reproducibility due to an angle of a thin line.SOLUTION: An image processing apparatus that converts first image data having a first number of gradations into second image data having a second number of gradations that is smaller than the first number of gradations using an error diffusion method, the image processing apparatus comprising: an edge angle detection processing unit that detects an angle of a thin line included in the first image data; and a threshold value determination processing unit that determines a threshold value of the error diffusion method for each pixel included in the first image data based on the angle of the thin line.SELECTED DRAWING: Figure 1

The invention provides an image processing method and device, electronic equipment and a readable storage medium, and the method is applied to ink screen equipment, and comprises the steps: obtaining a to-be-processed image, and determining the initial color of each pixel; for any target pixel, determining a target color of the target pixel based on the initial color of the target pixel and each candidate color of the ink screen device; determining a target error propagation pixel of the target pixel based on the initial color of the candidate error propagation pixel of the target pixel and a target color spatial distance threshold of the ink screen device; updating the initial color of the target error propagation pixel based on the initial color of the target pixel, the target color and a preset image dithering algorithm; and traversing each pixel in the to-be-processed image to obtain a target color of each pixel, and generating a to-be-displayed image. Thus, in the image dithering error diffusion process, the error propagation pixels are limited through the target color space distance threshold, and the boundary noise points of the generated image can be reduced.

The present invention provides a seven-color image display method based on error diffusion. The method converts a target image in RGB format (black, white, red, green, blue, yellow, and orange) into HSV format, then calculates the red, green, and blue brightness values ​​of each color, compares the obtained values ​​with pre-set thresholds, and assigns different colors. The present invention enables an electronic paper display screen of black, white, red, green, blue, yellow, and orange to have obvious grayscale-like depth changes from a visual perspective, making the color variety richer, smoother, and more acceptable.

The invention discloses a display device, a receiving card, a chip and a gamma compensation method, the chip is arranged in a display box body, a plurality of display box bodies are spliced into a display screen, the chip comprises a gamma conversion unit, the gamma conversion unit is used for receiving a plurality of gray-scale values corresponding to a plurality of pixel units in the corresponding display box body and decoding the gray-scale values, converting the plurality of gray-scale values into a plurality of theoretical gamma values through a gamma curve, and converting the plurality of theoretical gamma values into a plurality of actual gamma values according to the luminescence characteristics of the lamp beads in the corresponding display box body; the calculation unit is used for calculating a quantization error between each actual gamma value and the theoretical gamma value; the error diffusion unit is used for selecting a corresponding error diffusion mode to carry out error diffusion on the plurality of quantization errors according to the light emitting characteristics of the lamp beads in the corresponding display box body so as to obtain a plurality of compensation gamma values; and the driving unit is used for driving the plurality of pixel units in the corresponding display box body to emit light according to the plurality of compensation gamma values, so that the display effect of the display screen can be improved.

This invention provides a halftone method for halftone error diffusion in inkjet printing, comprising: S1. generating a checkerboard halftone screen; S2. color space conversion; S3. performing halftone processing, i.e., error diffusion processing, based on the results of steps S1 and S2; and S4. image synthesis. In this method, the 4×4 checkerboard design effectively controls noise and makes the distribution of adjacent pixels more uniform; the checkerboard format better simulates the characteristics of ink droplets in an inkjet printer; the screen size can be flexibly adjusted according to the actual effect, providing better adaptability; and combined with the error diffusion method, it ensures the fidelity of image details.

A high-fidelity metasurface holographic display method based on an ultrahigh uniform flat-topped beam can improve the fidelity of a metasurface holographic image, reduce edge noise and realize high-quality metasurface holographic display, and can be applied to the fields of augmented reality, virtual reality and laser processing. Receiving Gaussian light generated by the laser light source by using a digital micromirror device; step 2, the digital micromirror device performs initial modulation on the Gaussian light through an error diffusion algorithm to generate an initial modulation pattern, and performs dynamic closed-loop modulation on the Gaussian light through an iterative optimization process according to the initial modulation pattern to generate an ultrahigh uniform flat-topped light beam; step 3, the ultra-high uniform flat-topped light beam irradiates the metasurface holographic device through a front optical system, phase modulation of light is realized through a nano-column on the metasurface, interference is formed through cooperation with the ultra-high uniform flat-topped light beam, and a high-fidelity holographic image is reconstructed; and step 4, capturing the high-fidelity holographic image by imaging equipment through a rear optical system.

The invention relates to the technical field of vehicle control, and particularly discloses a multi-source sensing data fused intelligent backing decision and control system for a semi-trailer, which is characterized in that environment and state information of the semi-trailer is acquired by a multi-source sensor through a data acquisition module to form multi-source sensing data, and the data is firstly transmitted into a buffer area and then transmitted into a control module; uniformly processing according to a set fusion interval, projecting various sensing data to a semi-trailer body coordinate system by a data fusion module, improving the space matching precision through coordinate transformation, introducing a fusion synchronization index set to evaluate the consistency and timeliness of the sensor data, and ensuring that fusion is carried out only on the premise that the data is effective; error diffusion and information conflicts are avoided, and the space consistency and time collaboration of data are remarkably improved. And the fused high-quality data is input to a decision optimization module, a reference backing track is intelligently planned, a control instruction is generated, and meanwhile, a decision is dynamically updated according to the vehicle state, so that high-precision backing control is realized.

The present application relates to the technical field of halftone, in particular to a multi-level halftone method and system based on image partition error diffusion, comprising: dividing the input original image into flat regions and non-flat regions, and using gray level replacement quantization in the flat regions to increase the high-frequency blue noise characteristics of the halftone result, forming a distribution close to blue noise to reduce the banding distortion that can be observed by the human eye, while introducing an edge preservation mechanism in the non-flat regions, calculating the cumulative weight error according to the texture information in the texture region information mask, and introducing the propagation error in the total error to avoid the edge pixels in the image being affected by the error of the adjacent pixels, protect the edge details, and avoid the degradation of the edge details. The present application can alleviate the banding artifact phenomenon in the flat region, protect the texture and edge details, can provide halftone characteristics close to the ideal, and improve the output quality of the halftone image.

The invention discloses a cholesteric phase LCD display screen image dithering processing method and device, and the method comprises the steps: obtaining a pixel data stream of a to-be-displayed image of a cholesteric phase LCD display screen, each pixel in the pixel data stream comprises values of RGB three channels, and the depth information of each channel is 8 bits; for each pixel in the pixel data stream, screening out an RGB value of a target color closest to the color of each pixel from a preset color set; calculating an RGB error value of each pixel according to the RGB value corresponding to each pixel and the RGB value of the target color; and based on an error diffusion factor matrix of a Sierra algorithm, parallelly diffusing the RGB error value of each pixel to the current row, the next row and the adjacent pixels of the next row, and updating the RGB value of each pixel to generate a processed pixel data stream of the to-be-displayed image. According to the method and the device, the image dithering processing real-time performance is improved, and FPGA storage and power consumption are reduced.

The invention is suitable for the technical field of image processing, and provides an image dithering processing method and related equipment, and the method comprises the steps: dividing a to-be-processed image into a plurality of sub-image blocks; performing dual-channel gradient detection on each sub-image block to obtain feature information of each sub-image block; based on the feature information of the plurality of sub-image blocks, performing jitter processing on the plurality of sub-image blocks by using a plurality of error diffusion matrixes; the error diffusion matrixes corresponding to different feature information in the jitter processing process are different. The image processing effect can be improved.

This invention proposes a method for large-depth metasurface polarization holographic 3D display, which includes the following four steps: First, for two different 3D objects I and II, large-depth metasurface holograms I and II are calculated based on angular spectrum diffraction theory to obtain them respectively; Second, metasurface holograms I and II are interleaved row-by-row to encode a synthetic hologram, and then the phase of the synthetic hologram is optimized using an error diffusion algorithm to obtain the metasurface structure's required elementary phase information; Third, based on the elementary phase information obtained in step two... The metasurface structure is designed such that the odd-numbered rows of the metasurface structure are sensitive to left-handed circularly polarized light, and the even-numbered rows are sensitive to right-handed circularly polarized light, thus achieving independent control of different polarization states. In the fourth step, the metasurface structure is irradiated with a laser to perform holographic 3D reconstruction. When left-handed circularly polarized light irradiates the metasurface structure, a large-depth holographic reconstruction image of 3D object I is seen. When right-handed circularly polarized light irradiates the metasurface structure, a large-depth holographic reconstruction image of 3D object II is seen. When both left-handed and right-handed circularly polarized light irradiate the metasurface structure, large-depth holographic reconstruction images of 3D object I and 3D object II are seen simultaneously.