The invention belongs to the technical field of digital image processing, and specifically relates to an SAR (Synthetic Aperture Radar) image variation denoising method based on total curvature. The SAR image variation denoising method based on total curvature provides a high-order variation denoising model based on total curvature, in allusion to the basic characteristics of an SAR image, and converts solution of a non-convex energy equation into a tappet problem by introducing auxiliary variables, in allusion to non-linearity, non-convexity and non-smoothness of the high-order variation denoising model, utilizes an alternating direction method of multipliers, and comprehensively utilizes Fourier transform, a generalized soft threshold formula and a fast projection method to calculate, thus reducing the calculating complexity. The SAR image variation denoising method based on total curvature can remove the multiplicative spot noise and can maintain the image edge and geoscience structure detailed information at the same time, and the obtained image is relatively better in the subjective visual effect and is excellent in the objective evaluation standard, so that the SAR image variation denoising method based on total curvature can lay the foundation of application, such as subsequent segmentation, characteristic information extraction and interpretation of the SAR image.

SAR image variation denoising method based on total curvature

The invention discloses a method, system and device for detecting an SAR image based on ROF model semi-implicit denoising. The method is characterized in that the method comprises the steps: carryingout the logarithmic transformation of two time phase images with noise, and removing the noise of the images with noises through semi-implicit difference scheme via an ROF model after logarithmic transformation; carrying out the difference calculation of the two time phase images with noise, and obtaining a difference image; carrying out the clustering of the difference image, and obtaining a change detection result graph. The method achieves the more accurate and complete obtaining of the change information of a remote sensing image.

Method, system and device for detecting SAR image based on ROF model semi-implicit denoising

The embodiments of the invention disclose an image processing method, device and equipment. The method includes the following steps: acquiring a difference image, wherein the difference image is an image obtained by subtracting a pre-denoised image from an original image, the pre-denoised image is an image obtained by pre-denoising the original image, each pixel of the difference image has a corresponding weight, and the pixels of the difference image include valid denoised pixels and invalid denoised pixels; randomly determining the values of denoising parameters corresponding to the pixels of the difference image, wherein the denoising parameters include a first parameter, and/or a second parameter, and/or a third parameter, the first parameter is the weights corresponding to valid denoised pixels within a preset weight range, the second parameter is the ratio of the number of valid denoised pixels to the number of invalid denoised pixels, and the third parameter is the locations of valid denoised pixels and/or invalid denoised pixels; and denoising the original image or the pre-denoised image according to the pixel values of the pixels of the difference image and the randomly determined values of the denoising parameters.

Image processing method, device and equipment

The invention provides an image restoration method, which comprises the following steps: collecting a nuclear radiation image in a strong irradiation environment, traversing each pixel of the nuclearradiation image, and detecting irradiation light spot noise points in the nuclear radiation image by using the singularity of pixel values; weakening the irradiation light spot noise point by adoptingself-adaptive median filtering, and obtaining a smooth image; obtaining a first to-be-repaired area and a second to-be-repaired area according to the irradiation light spot noise point and the smoothimage; restoring the nuclear radiation image by using a variation method of a minimum image gradient to obtain a first restored image and a second restored image; and carrying out image fusion on thefirst restoration image and the second restoration image According to the method, after the irradiation light spot noise points are extracted, the irradiation light spot noise points are repaired through the variation technology of the minimum image gradient, image fusion is conducted on the two repaired images, and the definition of the images is improved

Image restoration method

The invention discloses a noise point processing method and a device. The method comprises the following steps of: selecting pixel points in an area array, wherein the area array is formed by arranging a plurality of pixel points through a matrix; acquiring depth information corresponding to pixel points stored in advance in the sensor; performing pixel point dispersion calculation according to the depth information corresponding to the pixel points to obtain at least one dispersion degree of the pixel points, wherein the dispersion degree is used for indicating the dispersion degree between the pixel points and other pixel points in the area array; when at least one dispersion of pixel points exceeds a preset threshold value, pixel points are identified as noise points and removed from the area array. As can be seen from the above method, according to the depth information corresponding to the pixel points to calculate the dispersion between the pixel points and other pixel points inthe area array, when at least one dispersion degree of pixel points exceeds a preset threshold value, pixel points are recognized as noise points and removed from the area array, thereby realizing therecognition and removal of noise points in the area array, thereby solving the technical problem that the generated noise points will affect the accuracy of the interference depth information.

Noise point processing method and device

The invention belongs to the technical field of digital image processing, provides a TV (total variation) image noise removal method based on noise priori constraint and can improve the noise detection accuracy and well protect image structural information. The technical scheme is that the TV image noise removal method based on the noise priori constraint comprises the following steps: step 1) inputting a noise-containing image I; step 2) enabling f to be an original sharp image; step 3) performing impulse noise influence on an image u in transmission and storage processes, and representing an image polluted by mixed noise with g; step 4) estimating noise positions with an ROAD (rank-ordered absolute difference) statistical method; step 5) constructing a TV-ROAD iteration noise removal model; step 6) solving an equation shown in the specification according to a noise removed image f obtained in the previous step to obtain a two-value matrix vector b. The method is mainly applied to digital image processing.

TV (total variation) image noise removal method based on noise priori constraint

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TV (total variation) image noise removal method based on noise priori constraint