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Two-stage image denoising method based on adaptive singular value threshold

An adaptive, singular value technology, applied in the field of image processing, which can solve the problems of visual artifacts and scratches, texture and details, poor reconstruction and computational cost.

Pending Publication Date: 2019-10-18
SHANDONG INST OF BUSINESS & TECH
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  • Abstract
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Problems solved by technology

Although the denoising effect has been greatly improved, there are still the following problems: 1) The denoising effect is prone to visual artifacts and scratches 2) The texture and details are poorly reconstructed 3) The computational cost is large

Method used

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  • Two-stage image denoising method based on adaptive singular value threshold
  • Two-stage image denoising method based on adaptive singular value threshold
  • Two-stage image denoising method based on adaptive singular value threshold

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Embodiment Construction

[0066] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0067] like figure 1 shown, including the following steps:

[0068] Step 1: Estimate the noise standard deviation σ from the median absolute deviation (MAD) in the wavelet coefficients;

[0069] Step 2: After the image is divided into blocks, the image blocks are grouped by the Euclidean distance criterion, and the formed similar image blocks are formed into a similar group matrix P j .

[0070] 1) Divide the image into The image blocks of size are grouped by the following similarity measure formula,

[0071] (1)

[0072] where ||*|| 2 Indicates the Euclidean distance, y j is the reference block, y c represent candidate blocks. select from y j The nearest L s...

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Abstract

The invention discloses a two-stage image denoising method based on an adaptive singular value threshold, which performs denoising estimation twice, and comprises the following steps of: dividing an original image to be denoised into a plurality of image blocks with the same size, and grouping similar image blocks through a block matching method to form a similar group matrix; converting a denoising problem into a low-rank approximation problem, and estimating similar image blocks of each group by using an adaptive singular value threshold; aggregating the estimated image blocks into an initial denoised image; in order to improve the first denoising result, adopting a two-stage strategy with a back projection step to further suppress noise residual errors, and generating a new noise image;and repeating the steps of the previous first stage to generate final denoising estimation. According to the method, more edge details which are easily blurred can be retained subjectively, the problem that a denoising result is too smooth is solved, the visual effect of the image is improved, and the calculation cost is reduced through fewer iterations.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a two-stage image denoising method based on an adaptive singular value threshold. Background technique [0002] In today's era of Internet and big data with rapid technological development, people are surrounded by a lot of information all the time. As an important information carrier, images have brought great convenience to people's communication and even lifestyle. Because of this, people put forward higher requirements for image quality, which also brings corresponding challenges to image processing technology. [0003] In the field of image processing, image denoising is one of the most basic image processing techniques. However, images are easily polluted by noise during shooting, collection, transmission, storage, etc., which not only affects the effective information of the image, but also limits the effect of subsequent image processing, such as classification...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor 华臻张海程李晋江
Owner SHANDONG INST OF BUSINESS & TECH
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