Image restoration method and device based on Shannon-Nuttall wavelet multi-scale expression

A repair method and multi-scale technology, applied in the field of image processing, can solve the problems of wavelet transform, which has a large amount of calculation, affects the use of models, and does not have second-order geometric features.
CN104574294AActive Publication Date: 2015-04-29CHINA AGRI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CHINA AGRI UNIV
Publication Date
2015-04-29

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Abstract

The invention discloses an image restoration method and device based on a Shannon-Nuttall wavelet multi-scale expression. The method comprises the following steps: obtaining a to-be-restored image; shielding a to-be-restored area in the to-be-restored image; constructing a multi-scale interpolation operator based on a Shannon-Nuttall interpolating wavelet and realizing the geometric description of the to-be-restored image under an interpolating wavelet framework; constructing an image restoration variational model under the interpolating wavelet framework according to the geometric description of the to-be-restored image under the interpolating wavelet framework; solving the image restoration variational model under the interpolating wavelet framework and obtaining a sharp image. According to the image restoration method and device disclosed by the invention, the image is reconstructed through the multi-scale interpolation operator, the image restoration variational model is constructed under the interpolating wavelet framework, and the image is solved through a sparse grid algorithm to obtain the restored image, so that the efficiency and the precision of image restoration are improved.
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Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to an image restoration method and device based on Shannon-Nuttall wavelet multi-scale expression. Background technique

[0002] High-resolution biomedical images can provide more accurate and rich visual information for medical diagnosis and pathological analysis. Although the use of high-density image acquisition sensors can improve image resolution to a certain extent, when preparing microscopic images of slice sequences, due to the influence of preparation tools, local wrinkles will occur on a few microscopic images (such as figure 1 The circled area in ), which affects the subsequent 3D reconstruction and case analysis using microscopic images.

[0003] The image processing method that "opens" the wrinkles is the "image restoration" technique. The image restoration algorithm is mainly oriented to the repair of two types of images, such as noise pollution, motion blur...

Claims

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