19 results about "Error diffusion" patented technology

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 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.

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.

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.

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.

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 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 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.

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.

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.

The application discloses a kind of binary Fourier single-pixel imaging method, system, device and medium, method includes: based on error diffusion template, by m kind of pixel scanning order to Fourier base pattern is error diffusion, obtains m group binary Fourier base pattern;M group binary Fourier base pattern is projected respectively to processing, and corresponding m two-dimensional target image is reconstructed to obtain;Select n two-dimensional target image to carry out fusion processing, and obtain target image.The application obtains multiple groups of binary Fourier base pattern by different scanning order, reconstructs by the projection of binary Fourier base pattern, finally, the reconstructed two-dimensional target image is fused, effectively reduce the quantization noise and environmental noise of image, while the high-frequency information of image is preferably retained, so that the imaging quality is greatly improved, while realizing the function of good noise reduction, without losing image detail part due to excessive smoothing, can be widely applied in optical imaging technology field.

The invention relates to the technical field of halftoning, in particular to a multi-level halftoning method and system based on image partition error diffusion, and the method comprises the steps: dividing an input original image into a flat region and a non-flat region, and employing gray level replacement quantization in the flat region to increase the high-frequency blue noise characteristic of a halftoning result, the method comprises the following steps of: forming distribution close to blue noise to reduce stripe distortion which can be observed by human eyes, introducing an edge preserving mechanism into a non-flat region, calculating an accumulated weight error according to texture information in a texture region information mask, and introducing a propagation error into a total error to prevent edge pixels in an image from being influenced by errors of adjacent pixels, so that the image quality is improved. Edge details are protected, and edge detail degradation is avoided. According to the method, the stripe artifact phenomenon of a flat area can be relieved, texture and edge details are protected, nearly ideal halftone characteristics can be provided, and the output quality of a halftone image is improved.

The present application relates to the technical field of environmental monitoring, and more particularly to a gas diffusion imaging processing method considering path confidence correction, comprising: calculating link input, establishing the relationship between observation and concentration by using a nonlinear diffusion imaging model, improving inversion stability by using path length estimation and confidence correction, and obtaining reliable concentration field through energy functional optimization; based on concentration sequence and image sequence, combining brightness consistency and conservation error to estimate wind speed field, and then using physical stepping and learning residual to obtain evolution operator prediction of future concentration with physical and data constraints; embedding the prediction module into system dynamics to describe the influence of device action on concentration, configuring risk measurement design and optimization control strategy, and controlling the key area to maintain safe concentration under various disturbances. The present application solves the problems of imaging error, unstable diffusion prediction and uncontrollable intervention in the prior art.

The embodiment of the application 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 unifies and connects the target pixel observation of each frame, the anchor point selection result, the pose solvable state, the pose solution result, the unsolvable time period record, the pixel drift compensation amount and the structure displacement output through a space target coordinate anchor chain. When the pose is unsolvable, the pixel drift of the unsolvable time period is constrained and regressed through anchor chain closure correction, so as to restore the continuity of the structure displacement output and reduce the gap error diffusion. Therefore, by constructing the space target coordinate anchor chain and performing the anchor chain closure correction in the gap stage when the pose is unsolvable, the bridge deformation result has continuity, determinability and traceability, so that the special scene of long-distance oblique view, strong shaking, strong light reflection and short-time shielding can be adapted.