Method and system for denoising noise image

An image noise reduction and noise reduction processing technology, applied in the field of image processing, can solve the problems of not being able to make full use of the directionality of Contourlet, destroying the continuity of image texture, and the limitation of improving the noise reduction effect, so as to achieve detailed and thorough decomposition and improve quality , the effect of reducing the noise signal

Active Publication Date: 2010-06-02
NANJING ZHONGXING SOFTWARE
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Problems solved by technology

However, the simple translation operation not only cannot make full use of the directionality of the Contourlet transformation, but also destroys the texture continuity of the image, and the improvement of the noise reduction effect is naturally limited.

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  • Method and system for denoising noise image
  • Method and system for denoising noise image

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Embodiment Construction

[0035] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0036] The present invention aims to provide an improved image noise reduction method and system. Firstly, the input noisy image is staggered to a certain extent, and the noisy image is sparsely decomposed in multiple scales and directions by wavelet-based Contourlet transform. And in the transform domain, the minimum Bayesian risk function is used to estimate the noise threshold of the high-frequency sub-high frequency sub-image to denoise the threshold, and then the wavelet-based Contourlet inverse transform and the inverse mis-cut operation of the corresponding mis-cut amplitude are performed to obtain the mis-cut The denoised image after cropping. Then repeat the previous steps, and linearly average the noise-reduced images obtained each time to obtain the final noise-reduced image to achieve the purpose of image noise reducti...

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Abstract

The invention discloses a method for denoising a noise image, which comprises the following steps: shearing the input noise image to acquire a sheared image; sparsely decomposing the sheared image by a wavelet-based Contourlet conversion to acquire low-frequency sub-images and high-frequency sub-images, and denoising each high-frequency sub-image to acquire a denoised high-frequency sub-image; and performing a wavelet-based Contourlet reverse conversion on the low-frequency sub-images and the denoised high-frequency sub-images, and performing reverse shearing operation with the same shearing amplitude on the low-frequency sub-images and the denoised high-frequency sub-images. The invention also discloses a system for denoising the noise image. The method and the system of the invention effectively decrease noise signals in the image, effectively keep detail information of the image, greatly improve image denoising effect and improve the quality of the image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a noise reduction processing method and system for a noisy image. Background technique [0002] In the process of image acquisition, conversion and transmission, the image quality is easily affected by the interference of imaging equipment and external environment noise, etc. Therefore, image noise reduction is a basic and necessary preprocessing step in image engineering, and it is the key to image perception, classification and recognition. One of the key technologies. [0003] The essence of image noise reduction is pattern classification: that is, to separate the irregular "noise pattern" with point-like singularity from the regular "image pattern". Wavelet is the optimal basis for objective functions with point-like singularities, but in high-dimensional cases, wavelet analysis cannot make full use of the unique geometric characteristics of the data itself, so it i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 谭冠军车忠辉宋欣
Owner NANJING ZHONGXING SOFTWARE
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