Image denoising method and device based on heterogeneous noise characteristics and medium
A technology with noise characteristics and heterogeneity, applied in the field of image processing, can solve the problems of poor calculation efficiency and denoising effect, and achieve the effect of improving calculation efficiency and denoising effect
Pending Publication Date: 2021-09-17
CENT SOUTH UNIV
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[0004] In view of this, the embodiments of the present disclosure provide an image denoising method, device, and medium based on heterogeneous noise characteristics, which at least partially solve the problems of poor computational efficiency and denoising effect existing in the prior art
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[0042] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.
[0043] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the content disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, al...
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The embodiment of the invention provides an image denoising method and device based on heterogeneous noise characteristics and a medium, and belongs to the technical field of image processing, and the method specifically comprises the steps: converting a three-dimensional data set corresponding to an initial image into a two-dimensional data set, carrying out the normalization operation of the two-dimensional data set, and carrying out the decomposition of the two-dimensional data set to obtain an initial data set; calculating a probability density distribution function according to the initial data set, and establishing a decomposition model; optimizing the decomposition model to obtain a corresponding parameter formula; iterating all parameter formulas to obtain values of all parameters in the decomposition model; obtaining a target image; judging whether the quality of the target image meets the standard or not; if yes, outputting a target image; and if not, continuing iteration until the standard is met. Through the scheme of the invention, the image data is preprocessed, the decomposition model obeying each pixel point in the target data set is established, and the denoised target image is output by iteratively decomposing the value of each parameter in the model, so that the calculation efficiency and the denoising effect are improved.
Description
technical field [0001] Embodiments of the present disclosure relate to the technical field of image processing, and in particular, to an image denoising method, device, and medium based on heterogeneous noise characteristics. Background technique [0002] At present, image preprocessing occupies a very important position in digital image processing, and image quality directly affects image classification, recognition and segmentation. Among them, image denoising is the basic process of image preprocessing, and the quality of image denoising effect directly affects the subsequent image processing process. With the development of technology and the advent of the era of big data, image denoising is not only about processing a certain image, but also needs to process a whole set of image data sets. Existing image denoising methods extract the low-rank subspace of the data set based on the similarity of the images in the data set, and the denoising effect is poor, or use a mixed...
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Login to View More IPC IPC(8): G06T7/00G06T5/00G06F17/16
CPCG06T7/0002G06F17/16G06T2207/10004G06T5/70
Inventor 汪运陈远洋邹润民
Owner CENT SOUTH UNIV