Image denoising and compressing method

A compression processing and image technology, applied in the field of image processing, can solve the problems of slow transformation speed and poor edge enhancement effect, and achieve the effect of fast transformation speed, simple and fast operation process, and fast operation speed

Inactive Publication Date: 2015-07-08
SOUTH CHINA UNIV OF TECH
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  • Abstract
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Problems solved by technology

However, the traditional DCT needs to call the function to determine when generating the transformation coefficient mask matrix, and the transformation speed is slow. After testing, it is found that its edge enhancement effect is not good.

Method used

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  • Image denoising and compressing method
  • Image denoising and compressing method
  • Image denoising and compressing method

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Embodiment

[0061] In the process of digitization and transmission, digital images are often affected by imaging equipment and external environmental noise interference, resulting in a noisy image with degraded quality. Although the cause of image degradation cannot be accurately calculated, it is possible to take an appropriate method to remove the noise by estimating the influence law of the degradation factors. Image denoising methods can be divided into two categories: traditional DCT denoising and wavelet denoising. Among them, wavelet denoising has received more and more attention in recent years.

[0062] There are many reasons for noise, but they can be divided into two categories in signal processing: additive noise and multiplicative noise. The noise models mainly include Gaussian noise and salt and pepper noise. Gaussian noise refers to a type of noise whose probability density function obeys a Gaussian distribution (that is, a normal distribution). The salt and pepper noise...

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Abstract

The invention discloses a convenient image denoising and compressing method. The method includes the steps of conducting high-frequency and low-frequency component separation on the basis of two times of wavelet transform, and obtaining a denoised image with the quality higher than that achieved through traditional hard threshold value and soft threshold value denoising by setting a simple threshold value and conducting independent threshold value denoising. Meanwhile, in the process of compressing, a transformation coefficient mask matrix with the frequently-used compression ratios of 2, 8 and 16 in engineering is tested and modified to obtain three compression information matrixes related to the coefficient without calling complex functions, and therefore the calculation amount is greatly reduced, and the compression ratios are selected through the switch function in the compressing process. The method is easy to operate, feasible, easy to accept and master, convenient to popularize and suitable for the fields of natural image processing and the like.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image denoising and compression processing method. Background technique [0002] Image is an important source of information, and image processing can help people understand the connotation of information. However, images are often disturbed and affected by various noises during the process of image generation and transmission, which degrades the image quality, which will have an adverse effect on subsequent image processing (such as segmentation, compression, and image understanding, etc.). Although the cause of image degradation cannot be accurately calculated, it is possible to take an appropriate method to remove the noise by estimating the influence law of the degradation factors. [0003] Wavelet transform is the integration and development of traditional Fourier transform. Its multi-resolution analysis has good time-frequency characteristics. Wavelet-based t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T9/00
Inventor 刘刚金尚儿邱梓庭梁子鹏杨林伍开毅
Owner SOUTH CHINA UNIV OF TECH
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