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Global striplet transform domain denoising method based on non-local direction correction

A stripe wave transform and direction correction technology, applied in the field of image processing, can solve problems such as Bandelet sub-block errors, and achieve the effect of improving the effect of denoising and accurate coefficients

Inactive Publication Date: 2017-02-08
XIDIAN UNIV
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Problems solved by technology

However, due to the addition of noise in this method, there is a certain error in the selection of the optimal direction of the Bandelet sub-block, especially when the noise is large, the noise will drown the signal, and this phenomenon will become more obvious

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  • Global striplet transform domain denoising method based on non-local direction correction
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  • Global striplet transform domain denoising method based on non-local direction correction

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Embodiment Construction

[0029] refer to figure 1 , the present invention is based on the non-local direction correction global striplet transform domain denoising method, comprising the following steps:

[0030] Step 1, input a noisy image, and calculate the geometry G of the noisy image:

[0031] 1a) Input a noisy image;

[0032] 1b) Perform three-layer translation-invariant atrou wavelet transform on the noisy image, the initial transformation threshold T=3σ, the sub-block is 8*8, and the geometric property G of the image is calculated;

[0033] Step 2: According to the direction information of similar blocks in the neighborhood of each sub-block, correct the original direction according to certain rules, and calculate the corrected image geometry G1:

[0034] 2a) Take the 49*49 neighborhood, calculate the block similarity according to the following Euclidean distance formula, and select 5 similar blocks:

[0035] d ( Z xR , ...

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Abstract

The invention discloses a method for denoising a global Bandelet transformation domain based on non-local directional correction and belongs to the technical field of image processing. The method mainly solves the problem that in the existing Bandelet domain denoising method, directions are not accurately judged. The method includes the following steps that (1) images with noise are input; (2) the images with the noise are subjected to translation invariant discrete wavelet trans-form, and the geometrical direction of wavelet sub-bands is calculated; (3) with regard to directional information of each similar block of sub-blocks, the original direction is modified according to certain rules so as to acquire the modified geometrical direction; (4) projection is conducted on the modified geometrical direction to acquire a Bandelet coefficient; (5) hard threshold contraction processing is carried out on the Bandelet coefficient to acquire the images without the noise in a reconstruction mode. Compared with the original Bandelet domain image denoising method and other classic denoising methods, the method for denoising the global Bandelet transformation domain based on the non-local directional correction is improved to a certain degree.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to image denoising, in particular to a global striplet transform domain denoising method based on non-local direction correction, which is suitable for image noise removal. Background technique [0002] The removal of image noise is the most basic and most important core technology of image processing. In the process of image acquisition and transmission, it is inevitable to be disturbed by noise. Image denoising is a key step in preprocessing, because the quality of image denoising determines the effect of subsequent image processing. Suppressing noise through a suitable denoising algorithm can provide more accurate information for subsequent processing. The purpose of denoising is to keep more details and edges of the image while removing noise. Transform domain denoising has been more and more widely used with the generation of wavelet and multi-scale geometric analysis ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 钟桦焦李成杨春艳王爽侯彪马晶晶马文萍
Owner XIDIAN UNIV