24 results about "Color interpolation" patented technology

The invention discloses a road rolling track visualization analysis method, and relates to the technical field of traffic transportation engineering, and the method comprises the steps: collecting original data, carrying out the preprocessing of the original data, obtaining a data set, mapping the data set to a preset range, building a visual mapping relation, determining the HSL value of each rectangular unit, calculating the RGB value of each rectangular unit through the HSL value, and carrying out the calculation of the RGB value of each rectangular unit. The method comprises the steps of obtaining a basic construction area graph, setting a transparency channel on the basic construction area graph, superposing the transparency channel with adjusted transparency on the basic construction area graph, obtaining a final construction area graph, and setting an interactive interface. Visual faults are eliminated in combination with color interpolation, transparency is adjusted, layer display is optimized, and reliable technical support is provided for accurate visual analysis and construction quality management and control of the road rolling track.

The invention provides a laser coloring method and system, and the method comprises the steps: determining a to-be-rendered region of a to-be-colored model based on a current sight line direction; obtaining the relationship between the normal of the model at each pixel point in the to-be-rendered area and the sight line direction; setting a plurality of basic colors for each pixel point, and setting the change frequency of the basic colors; obtaining an interpolation factor of each pixel point according to the relationship between the normal of the model and the sight line direction and the change frequency; and in combination with the set basic color and the interpolation factor, the reflection color of each pixel point is obtained, so that the laser coloring effect of the to-be-rendered region is realized. Compared with the prior art, the method has the advantages that the effect that the reflection color of the pixel points continuously circulates or periodically changes along with the change of the sight line direction is achieved, and therefore the laser effect closer to reality is rendered.

Embodiments of the present application provide an image processing method. The method comprises: an image signal processor in a chip processing data received from a camera to generate a target image; the image signal processor writing a first patch in the target image into a system cache in the chip; a neural network processor of the chip reading the first patch from the system cache; the neural network processor processing the first patch based on a neural network model to obtain a first output patch; and the neural network processor writing the first output patch into the system cache. The processing includes at least one of color interpolation or high dynamic range (HDR) processing. The technical solution provided by the present application saves the time-consuming of image processing and saves the system power consumption.

The present invention relates to a colorimetric test sheet equipped with multi-color reference points, an image correction method, and a system for overcoming non-linear image distortion of a smartphone camera. To precisely correct the inherent color distortion of smartphones (ISP, AWB, etc.) that is impossible with basic three-color markers, the present invention places a plurality of multi-color reference color patches around a QR code. In addition, to prevent handling contamination such as fingerprints, instead of excluding physical reference points in the outer area, a logic for generating 'Fake References' is introduced that mathematically extends and copies the coordinates of the real reference points inside outward, thereby perfectly performing spatial color interpolation (IDW, etc.) without divergence errors. Furthermore, as a specific embodiment, the present invention incorporates a detachable plasma separation membrane upper structure that suppresses red blood cell interference when whole blood is injected, thereby removing the upper contaminants entirely after a chemical reaction and taking a single shot of only the exposed lower support with a smartphone, thereby achieving precise quantitative readings at the level of medical devices without the need for expensive dedicated equipment.

This application provides a rendering optimization system and method for altered mineral 3D models. The method first divides the 3D model surface into uniform alteration intensity regions and alteration intensity transition zones. Based on the local gradient direction of the alteration intensity transition zone, directional compensation is applied to the boundary diffusion parameter, which characterizes the visual blurring properties of the boundary, to obtain the visual compensation coefficient for the alteration intensity transition zone. Based on the alteration intensity difference between adjacent uniform alteration intensity regions in the 3D model and the inherent width of the alteration intensity transition zone, the visual loss of boundary continuity is determined. The anisotropic smoothing constraint weights are determined through the visual compensation coefficients and the visual loss of boundary continuity when performing color interpolation calculations for each alteration intensity transition zone. Then, adaptive smoothing rendering optimization is performed on the transition zones of the 3D model surface based on all anisotropic smoothing constraint weights. This application's solution can achieve adaptive smoothing rendering of the transition zones on the 3D model surface, thereby improving boundary continuity.

The embodiment of the invention provides a model training method, an image processing method, electronic equipment and a storage medium, and the method comprises the steps: obtaining an original image training set which comprises a plurality of original images and a tag image corresponding to each original image, inputting the plurality of original images to an image processing model, and obtaining a tag image corresponding to each original image; the prediction images are images subjected to color interpolation and purple edge elimination, determining the current number of iterations, determining a target loss value between each prediction image and the corresponding label image according to the current number of iterations, and determining a target loss value between each prediction image and the corresponding label image according to the target loss value. The target loss values are used for indicating structural similarity loss or content similarity loss between the predicted image and the corresponding label image, and according to the multiple target loss values, updating the image processing model until the image processing model converges. According to the method, the image processing efficiency is improved.

The invention provides a Bayer image interpolation method and device, equipment and a medium, and relates to the technical field of image processing. The method comprises: for each first pixel in a Bayer image, based on an interpolation weight of the first pixel, performing weighted fusion on an initial green interpolation of the first pixel calculated based on a bilinear interpolation algorithm and a chromatic aberration interpolation algorithm to obtain a target green interpolation of the first pixel, the first pixel is a red pixel and a blue pixel in the Bayer image, and the interpolation weight is determined according to a horizontal gradient and a vertical gradient corresponding to the first pixel; determining another color interpolation of the first pixel based on the target green interpolation; for each green pixel in the Bayer image, a red interpolation and a blue interpolation of the green pixel are determined based on a pixel value of the green pixel and a difference between a pixel value of a neighborhood pixel of the green pixel and a corresponding target green interpolation. The Bayer image can be interpolated more accurately, and the final image quality is improved.

The invention relates to the field of topological optimization, and discloses a multi-phase material topological optimization method and equipment based on movable deformation holes. According to the method, a boundary description parameter equation of a B spline hole is established; establishing a topology description function according to boundary information of the boundary description parameter equation, and determining a color interpolation format of the multiphase material according to the topology description function; and establishing a mathematical optimization model by using a color interpolation format, and obtaining the topological structure of the multiphase material based on sensitivity information obtained by calculation of the mathematical optimization model. The structural design flexibility is improved, middle density units of interfaces between materials are eliminated, and optimization of structural material distribution is achieved.

The invention discloses a temperature field drawing method and device, electronic equipment and a storage medium, and the method comprises the steps: controlling a plurality of Web Workers to run in parallel for a target to-be-interpolated region allocated for each Web Worker through the geographic boundary of a to-be-interpolated region and the total number of the Web Workers; for any running Web Worker, determining coordinates of an interpolation temperature point of a target to-be-interpolated area through the target to-be-interpolated area and the geographic space occupied by the temperature point; substituting the coordinate of the interpolation temperature point, the coordinate of the known temperature point and the temperature value into an inverse distance weight interpolation function, and determining an estimated temperature value of the interpolation temperature point; substituting the temperature value of the known temperature point in the target to-be-interpolated region, the estimated temperature value of the interpolated temperature point and the temperature boundary of the to-be-interpolated region into a color interpolation function, and determining pixel RGBA values of all temperature points in the target to-be-interpolated region; the temperature field of the to-be-interpolated region is drawn through the pixel RGBA value and the geographic boundary of the to-be-interpolated region, so that the drawing efficiency of the temperature field is improved.

The application discloses a face recognition method and system based on a bayer format image, and the method comprises the following steps: collecting a bayer format image by using an image sensor; the bayer format image is a single-channel image which has not been processed by an image signal; performing gamma correction and color interpolation processing on the bayer format image to obtain a to-be-detected image; performing face detection on the to-be-detected image, and cutting out a first face image according to the face detection result; performing image enhancement processing on the first face image to obtain a second face image; extracting features of the second face image by using a face feature extraction network to obtain to-be-tested face features; and comparing the to-be-tested face features with standard face features in a face database one by one to obtain a face recognition result.

The invention relates to the technical field of color interpolation, and belongs to a color interpolation method suitable for industrial vision, and the method comprises the steps: S1, obtaining a to-be-processed Bayer image; s2, reconstructing a G channel image based on gradient dynamic distribution weight; s3, rebuilding an R channel image and a B channel image based on G channel gradient guide direction and residual interpolation correction; s4, Retinex enhancement is carried out on the reconstructed RGB image; and S5, outputting the enhanced RGB image. According to the method, a G channel image is reconstructed based on gradient dynamic distribution weight, then R channel and B channel images are reconstructed based on G channel gradient guide direction and residual interpolation correction, pseudo-color and zipper effects are reduced, Retinex enhancement is carried out on the reconstructed RGB image, an enhanced Retinex image is obtained, and the image quality is improved. The atomization of the interpolated image is reduced; and the quality of the image is improved.

A method for providing color correction for a specific camera sensor includes (i) providing a reference image, wherein the reference image results from a capture of the specific camera sensor, (ii) performing a color interpolation of the reference image to provide an interpolated image, (iii) determining at least one respective area of interest for the colors red, green and blue in the interpolated image, (iv) forming an average of color values in each determined area of interest to obtain a respective resulting average color, (v) assigning a respective reference color to each resulting average color, wherein the reference colors comprise at least the colors red, green and blue, (vi) generating a color correction matrix based on color values of the reference image, (vii) calculating a respective intermediate variable for the colors red, green and blue based on the generated color correction matrix, and (viii) minimizing a respective difference for the colors red, green and blue between the color values of the reference image and the respective intermediate variable calculated to provide the color correction for the specific camera sensor. Further disclosed are a computer program, a device, and a storage medium for this purpose.

The invention discloses an encryption method, device and equipment for preventing reverse cracking of a data image, and belongs to the technical field of data visualization security. Constructing a plurality of encryption functions for any non-labeled interval; traversing all the non-labeled intervals, and performing pre-encryption processing on the original image by using each encryption function; after pre-encryption processing, standard deviation of the difference between the encrypted data obtained by each encryption function and the original data is calculated; determining a transformation factor corresponding to each encryption function according to the size of the standard deviation; and traversing each non-labeling interval, randomly selecting one encryption function and the corresponding transformation factor to encrypt the original data in a certain non-labeling interval, and generating a pseudo-color graph by using the encrypted data. According to the method, data encryption is realized through flexible and changeable segmented nonlinear transformation in the non-labeling interval under the condition that the labeling points are not changed, so that a cracker cannot accurately recover original data through color interpolation and fitting.

This invention discloses a method for visual analysis of road compaction trajectories, relating to the field of transportation engineering technology. The method involves collecting raw data, preprocessing the raw data to obtain a dataset, mapping the dataset to a preset range, establishing a visual mapping relationship, determining the HSL value of each rectangular unit, calculating the RGB value of each rectangular unit using the HSL value to obtain a foundation construction area map, setting a transparency channel on the foundation construction area map, and overlaying the adjusted transparency channel onto the foundation construction area map to obtain the final construction area map. An interactive interface is also provided. This invention, through a standardized data preprocessing process, employs a color mapping mechanism to achieve simultaneous visualization of multiple parameters, and combines color interpolation to eliminate visual discontinuities and adjust transparency to optimize layer display, providing reliable technical support for accurate visualization analysis of road compaction trajectories and construction quality control.

The invention relates to a method for providing color correction for a specific camera sensor, comprising the steps of: providing a reference image, which is generated from the detection of the specific camera sensor, performing color interpolation of the reference image to provide an interpolated image, determining at least one region of red, green and blue to be inspected in the interpolated image, and correcting the color correction for the specific camera sensor. An average value of the color values is formed in each region to be inspected to obtain a respective generated average color, a respective reference color is assigned to each generated average color, where the reference colors comprise at least red, green and blue, a color correction matrix is generated based on the color values of the reference image, intermediate variables for red, green and blue are calculated based on the color correction matrix, respectively, for which respective differences between color values of the reference image and the intermediate variables are minimized in order to provide color correction for a particular camera sensor. The invention also relates to a computer program, a device and a storage medium therefor.

The embodiment of the present application relates to the photographic technical field, disclose a kind of focusing method and device, electronic equipment, computer readable storage medium, the method comprises: the first phase difference between the light signal respectively collected by each two matched first pixel region in target area is calculated, wherein, target area is the part or all of color interpolation region included in the photosensitive region of the photoelectric sensor of camera device, and the light signal collected by color interpolation region is used for color interpolation calculation, and the two first pixel regions matched exist partially region is shielded;And, according to the first phase difference adjustment focus of shooting device. Implement the embodiment of the present application, can improve focusing speed while ensuring the imaging quality of camera device.

The invention provides an image demosaicing method, device and equipment, and is applied to the technical field of image processing. The method comprises the following steps: for a to-be-processed image containing a mosaic area, determining an area type of each pixel in a mosaic image based on the mosaic image in the to-be-processed image; and matching a corresponding color interpolation strategy for each pixel according to the region type. Color interpolation is carried out on all pixels based on a color interpolation strategy, and a preliminary demosaiced image is generated; the problems that a traditional image demosaicing method is poor in adaptability, low in processing efficiency and rough in processing granularity can be solved.

Provided are a color interpolation method and an image acquisition device for a multispectral filter array. The color interpolation method includes acquiring a raw multispectral image on the basis of a multispectral filter array, generating a guide image for color interpolation of the raw multispectral image, generating a difference image between the raw multispectral image and the guide image, generating a demosaiced difference image by performing color interpolation based on the difference image, and generating a demosaiced multispectral image based on the demosaiced difference image and the guide image.

The invention relates to an image processing method and device and a storage medium, and the method comprises the steps: carrying out the correction processing of an original image, and obtaining a correction processing image; performing color interpolation on the corrected image to obtain a color interpolation processing image; adjusting the R / B gain of the color interpolation processing image to obtain an automatic white balance image; correcting the automatic white balance image according to the color correction matrix to obtain a color correction image; performing gamma correction on the color correction image to obtain an HDR image; converting an RGB color space of the HDR image into a YUV color space to obtain a color space conversion image; performing multiple times of wide dynamic range processing on the color space conversion image to obtain a wide dynamic range image; and sharpening the wide dynamic range image to obtain and output a sharpened image. In the embodiment of the invention, the image quality of the image processed by the image processing method can be remarkably improved, the wide dynamic range is improved, more bright and dark part details are reserved, and the compatibility and the flexibility are improved.

A design method for a passive simulator of full-space echo characteristics of an underwater vehicle includes: obtaining a target strength color map of the divided grid of the vehicle surface, and conducting a color interpolation on the divided grid, so as to obtain the distribution cloud map of the bright spot area contributed by the target strength of the underwater vehicle surface; dividing the scale model of the underwater vehicle into the bow, the midship and the stern, and retaining a contribution area to form the partial model of the bow, the midship and the stern; designing the partial simulator of each partial model, and determining the linear array of each partial simulator to form the underwater vehicle simulator; according to the time domain echo of the simulated underwater target, placing the bow, midship and stern simulator structures, and conducting the overall simulator design of the underwater target.

To provide a method for providing color correction for a particular camera sensor.SOLUTION: A method (100) includes the steps of providing (101) a reference image from a particular camera sensor (1), performing color interpolation of the reference image (102), determining (103) an area to be inspected in the interpolated image with respect to red, green, and blue colors, obtaining (104) an average color of the color values of the inspection area, and associating (105) a reference color including at least red, green, and blue colors with the average color, generating (106) a color correction matrix on the basis of the color values of the reference image, calculating (107) one intermediate variable each for red, green, and blue colors on the basis of the generated color correction matrix, and minimizing (108) differences in red, green, and blue colors between the color values of the reference image and the intermediate variables to provide color correction for the particular camera sensor (1).SELECTED DRAWING: Figure 1

The application provides a quad-bayer image conversion method and a quad-bayer image conversion device. The quad-bayer image conversion method comprises the following steps: extracting a first cache window with the red channel or the blue channel in a quad-bayer image as the center, calculating a green channel interpolation estimation result and a gradient estimation result in the horizontal direction and the vertical direction; inputting the green channel interpolation estimation result into a first convolutional neural network to obtain a green channel interpolation result; inputting the gradient estimation result into a second convolutional neural network to obtain a gradient result; based on the gradient result, performing weighted fusion on the green channel interpolation result to obtain an initial green color interpolation fusion result; combining the initial green color interpolation fusion result with the green channel value in the quad-bayer image and inputting the combination into a third convolutional neural network for processing to obtain a final green color interpolation result; based on the final green color interpolation result and the quad-bayer image, calculating interpolation results of the red channel and the blue channel; and according to a target bayer image mode, obtaining a converted normal bayer image.

The present invention discloses an encryption method, device, and equipment for preventing reverse cracking of data images, belonging to the field of data visualization security technology. The method comprises: determining a set of labeled points; constructing multiple encryption functions for any unlabeled interval; traversing all unlabeled intervals and pre-encrypting the original image using each encryption function; after the pre-encryption process, calculating the standard deviation of the difference between the encrypted data obtained by each encryption function and the original data; determining the corresponding transformation factor of each encryption function based on the magnitude of the standard deviation; traversing each unlabeled interval, randomly selecting an encryption function and a corresponding transformation factor to encrypt the original data within a certain unlabeled interval, and generating a pseudo-color image using the encrypted data. The present invention implements data encryption in the unlabeled interval through flexible and variable piecewise nonlinear transformation while ensuring that the labeled points remain unchanged, making it impossible for crackers to accurately restore the original data through color interpolation and fitting.

The invention discloses an industrial equipment health state visualization method based on multi-dimensional feature fusion, relates to the technical field of industrial data processing, and solves the technical problems that coordination expression of multi-dimensional data in industrial equipment health monitoring is difficult, and state abrupt change faultage is caused by spatio-temporal information splitting in a traditional method. The method comprises the following steps: firstly, constructing a hierarchical parameter system of equipment, and dynamically distributing weight coefficients and hierarchical constraints of master and slave components; secondly, in a polar coordinate system, calculating a sub-component angle interval by using a weight, and mapping a time dimension into a radial parameter; converting the health score into a continuous color gamut through color interpolation, generating a time ring along the radial direction and performing gradual transition, performing gradual filling on the sub-component region along the circumferential direction, and synchronously calculating the geometric center of the sub-component region; then dynamically adjusting a text direction based on a geometric center, and establishing intelligent labels of a master device outer ring and a sub-device inner ring; and finally, the time ring, the state region and the labeling system are superposed in the unified polar coordinate to form the health map, and the method has a good application prospect in the industrial field.