56 results about "Error diffusion" patented technology

Disclosed is a large-depth metasurface polarization holographic 3D display method, including: performing calculations for a first 3D object and a second 3D object based on an angular spectrum diffraction theory to obtain a first metasurface hologram and a second metasurface hologram; performing interleaved row-by-row insertion of the first and the second metasurface holograms to encode into a synthetic hologram, optimizing phases of the synthetic hologram by using an error diffusion algorithm to obtain phase information required by metasurface structures, that is, meta-phase information; designing the metasurface structures based on the meta-phase information, and making a metasurface structure in odd rows sensitive to left-handed circularly polarized light, and a metasurface structure in even rows sensitive to right-handed circularly polarized light to achieve independent control over different polarization states; and performing holographic 3D reconstruction by illuminating the metasurface structures with laser.

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 provides a color image compression method and system for improving Web performance, and is applied to the technical field of image processing. The method comprises the steps of performing edge detection on a grey-scale map corresponding to a to-be-processed color image by considering block statistical characteristics of the grey-scale map corresponding to the to-be-processed color image, and determining an edge region and a non-edge region of the to-be-processed color image; respectively carrying out color sampling on the edge region and the non-edge region at different sampling densities to obtain the occurrence frequency of each color in the to-be-processed color image and generate a color list of the to-be-processed color image; performing color quantization on each pixel of the to-be-processed color image based on the occurrence frequency and the region type weight of each color in the color list to obtain a quantized image; and performing error diffusion on the quantized image based on the adaptive error diffusion coefficient to obtain a compressed image corresponding to the to-be-processed color image. According to the method, the problems of distortion, color restoration distortion and edge blurring of the existing compressed image in a text region are solved.

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 relates to an electronic paper display mapping method based on visual perception and dynamic clustering, and belongs to the technical field of display. According to the method, firstly, learning factors and particle weights of a particle swarm optimization algorithm are dynamically adjusted, a gray segmentation threshold is optimized in combination with K-means clustering, and the accuracy and convergence efficiency of gray distribution are remarkably improved; secondly, establishing a dynamic error diffusion system based on visual perception, designing a frequency domain visual weighted filter and a spatial domain sensitivity function by combining a human visual perception theory, dynamically compensating quantization errors and enhancing edge details; and meanwhile, a Floyd-Steinberg error diffusion algorithm is improved, and a double image effect is inhibited in combination with a snakelike scanning path. According to the electronic paper display mapping method based on visual perception and dynamic clustering, the electronic paper image display quality is effectively improved, particularly when a high-gray-scale image is displayed, details can be reserved to the maximum extent, and the problems of gray-scale distortion and edge blurring in traditional electronic paper display are solved.

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 invention is suitable for the technical field of motion prediction, and provides a human motion prediction method based on noise prediction residual diffusion, which comprises the following steps of: performing discrete cosine transform processing on an observed human motion sequence to obtain embedded representation; a residual error between the human body action observed in the hidden space and the complete human body action is constructed, distribution modeling is carried out through a residual error diffusion module, and parameters of the residual error diffusion module are optimized in an original action space; a deterministic sampling process is adopted to establish deterministic mapping between prediction results of the residual diffusion module; accelerating a sampling process by using a model distillation technology, and proposing a student residual diffusion model to learn a mapping relation; the randomness of human body motion prediction is adjusted through a noise predictor module so as to generate diversified prediction actions. The residual diffusion module, the model distillation technology and the noise predictor module are adopted, the reasoning speed and the prediction precision of the model are remarkably improved, and the method has high practical application value in a real-time scene.

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 discloses an image processing method and system for a laser printer, relates to the technical field of image processing, and aims to eliminate detail loss and edge distortion caused by resolution difference by performing printer DPI matching on single-channel image data, and to analyze and perceive image local feature difference through local frequency so as to improve image quality. Adaptive processing strategies are determined for different areas, on the basis, binarization processing is carried out by adopting blue noise jitter and error diffusion technologies, high-frequency texture sharpness is reserved by utilizing the blue noise jitter and error diffusion technologies, and smooth transition of the low-frequency area is optimized by utilizing the error diffusion technologies. And finally, according to a local frequency analysis result, carrying out linear interpolation mixing on two binarization processing results so as to realize accurate combination of processing advantages of different regions. Thus, through multi-link cooperation, image detail reservation and artifact suppression are effectively balanced, and the output quality and adaptability of the laser printer in complex scenes such as images and texts and photos are improved.

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.

To provide a dither matrix generation method, apparatus, and program capable of reducing quality deterioration of a printed image by suppressing an influence of past driving of a peripheral nozzle of a predetermined nozzle or the predetermined nozzle itself.SOLUTION: In a dither matrix generation method used when generating print data for driving a head portion having a plurality of nozzle groups driven at different timing, when printing a predetermined pixel of interest by nozzle driving of a predetermined nozzle group, a dither matrix is generated by determining arrangement of thresholds so as to reduce an influence of past driving of other nozzle groups or nozzles for printing the pixel of interest.SELECTED DRAWING: Figure 5

The present invention provides a picture display method based on error diffusion. By dividing the intervals of black, white, red, and yellow through gray values, and dividing the entire pixel picture into different sub-matrices, calculating the average value of the total gray values of each sub-matrix, determining which interval each average value falls into, and then performing corresponding coloring on each element in the sub-matrix; making the color of the display screen that only displays black, white, red, and yellow look richer, smoother, and more acceptable visually.

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 present application relates to the field of display technology, and provides a method, device, color ink screen and medium for optimizing the display effect of a color ink screen. The present application effectively reduces the color level and achieves a preliminary color smoothing effect by performing error diffusion and order reduction processing on the original color image, so that the processed order-reduced image is closer to the actual display capability of the color ink screen in color; according to the color mask arrangement of the color ink screen, the pixel values ​​of the order-reduced image are mapped to brightness values, and a brightness image matching the display characteristics of the color ink screen can be obtained; secondary error diffusion processing is performed on the brightness image, which can further smooth the color transition in the image, reduce color faults and quantization noise, and help improve the detail expression of the image, so that the image presents a more natural and smooth visual effect on the ink screen.

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

To suppress deterioration of image quality due to positional deviation and granularity of dots.SOLUTION: A control apparatus executes: halftone processing of generating dot data representing a type of a dot of a pixel of interest to be formed on a medium to be printed by performing error diffusion processing on the pixel of interest while sequentially changing the pixel of interest along one direction of an arrangement direction for one pixel row among a plurality of pixel rows along the arrangement direction included in image data and then sequentially changing the pixel of interest along the other direction for the other one pixel row; correction processing of correcting discharge timing of an ink droplet by a correction value on the basis of the dot data; and printing processing including a pass operation, where the correction value includes a first correction value for correcting positional deviation in a movement direction between a dot formed by a current pass operation and a dot formed by a previous pass operation, and a second correction value for reducing granularity of an image configured of dots formed by a plurality of pass operations.SELECTED DRAWING: Figure 1

The invention discloses a full-color 3D printing error diffusion method which comprises the following steps: error diffusion coefficient calculation: selecting a corresponding diffusion factor for each gray value or partial gray value, and then calculating an optimal weight value and an optimal binarization threshold value corresponding to each diffusion factor according to a principle of minimum chromatic aberration through a genetic iterative algorithm; and 3D error diffusion: for each voxel point, selecting one channel, comparing the gray value of the channel with the corresponding optimal binarization threshold value to carry out binarization screening, calculating a diffusion coefficient according to the corresponding diffusion factor and the optimal weight value, and then diffusing the error to unprocessed adjacent voxels of the current layer and the next layer of the current voxel. The corresponding diffusion factor is selected according to the characteristics of 3D printing, the optimal diffusion factor weight and the threshold value of the diffusion factor are selected according to the genetic iterative algorithm, then 3D error diffusion is performed according to the obtained result, and the obtained 3D printing model is high in color reduction degree and clear in texture details.