Image noise reduction method based on image block prior estimation mixed framework

A priori estimation, image noise reduction technology, applied in the field of image noise reduction, can solve the problem that the noise reduction effect cannot be achieved

Inactive Publication Date: 2016-08-31
HOHAI UNIV CHANGZHOU
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Problems solved by technology

The methods mentioned above use different image prior information to estimate natural images, but for images with complex distribution, using a certain method cannot achieve a good noise reduction effect, so a more robust noise reduction is required Algorithms to deal with different noisy images, thereby improving the quality of noise reduction

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  • Image noise reduction method based on image block prior estimation mixed framework
  • Image noise reduction method based on image block prior estimation mixed framework
  • Image noise reduction method based on image block prior estimation mixed framework

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Embodiment Construction

[0037] The image noise reduction method based on the image block prior estimation hybrid framework of the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0038] Such as figure 1 As shown in , an image denoising method based on the image block prior estimation hybrid framework includes the following steps:

[0039] (1) Image block prior estimation

[0040] (a), first divide the noise-containing image block into two types, and the two sizes are 8×8 and 40×40 respectively;

[0041] (b), using structure detection for the noisy image block whose size is 8×8;

[0042] The intermediate image block is constructed by using the noise-containing image block with average weight and the image block denoised by the image block matching-three-dimensional filtering method,

[0043] The construction formula is:

[0044] y i ′ = αy i + ...

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Abstract

The invention discloses an image noise reduction method based on an image block prior estimation mixed framework, and specifically relates to prior estimation of image blocks, and an image noise reduction method. The prior estimation involves classifying the image blocks through detecting image structures and performing image noise reduction on the classified image blocks according to different image results by using an image block expected logarithm likelihood estimation and an image block coupling-three-dimensional filtering method. According to the invention, by use of the image noise reduction method based on the image block prior estimation mixed framework, noise reduction can be realized relevantly according to different image block structures, and experiment results show that the method, compared to other noise reduction methods, has the advantage of better-robustness noise reduction.

Description

technical field [0001] The invention relates to an image noise reduction method, in particular to an image noise reduction method based on an image block prior estimation hybrid framework. Background technique [0002] In recent years, many algorithms have been proposed for the problem of image noise reduction. One of the methods is block-based noise reduction to achieve image noise reduction by estimating the redundancy of spatial image blocks. For example, the image block expected log likelihood estimation algorithm (EPLL) uses a Gaussian model to estimate a clean image from a noisy image block. Another way is to achieve image noise reduction by using the spatial correlation of image blocks. The representative algorithm is block matching and three-dimensional filtering (BM3D) algorithm, which judges the correlation of image blocks according to the similarity between image blocks. . [0003] For image noise reduction, prior estimation is also an effective method. Sparse r...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor 汤一彬李旭斐谈雅文周妍高远陈秉岩
Owner HOHAI UNIV CHANGZHOU
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