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A Study on Image Denoising Based on Biorthogonal Wavelet Transform

Author: XuHaiDong
Tutor: TuErHongJiang·ABuDuKeLiMu
School: Xinjiang Normal University
Course: Applied Mathematics
Keywords: image denoising Thresholding function The new threshold function
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 39
Quote: 0
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Abstract


In the image acquisition and transfer such processes, inevitably, image noise containing noises have seriously affected the image processing, image denoising effect for further treatment. Image Therefore, with noise to deal with the noise of image, improve the quality of the images, becomes an important research subject. Wavelet analysis is the international recognized image information acquisition and processing areas of high and new technology, is multidisciplinary, is the focus in the new frontiers in image processing. Because of wavelet transform has low entropy sex, multi-resolution sex, go to relevance, choose base flexibility features, make it become in image denoising field of emollient tool. One such person proposed by Donoho wavelet threshold denoising method to its principle is simple and easy to implement and so on become one of the most active research content. However, wavelet threshold denoising method inherent defects, such as hard thresholding function of discontinuity, soft thresholding function makes estimate and practical value deviation between the constant. Many domestic researchers on this basis, construct a new threshold function from the perspective of a lot of research.This paper mainly include the following three aspects:(1) the first two chapters paper summarized the basic content of wavelet analysis, and various kinds of wavelet de-noising methods, and emphatically summarized wavelet threshold image denoising.(2) the third chapter specific analysis the influence wavelet threshold image denoising the various factors, and analyzes several improvement the advantages and disadvantages of threshold function.(3) the fourth chapter on the basis of the above puts forward new thresholding function, analyzed the theoretical feasibility and experimentally.(4) the fifth chapter of full text summarized and prospected. function, analyzed the theoretical feasibility and experimentally.(4) the fifth chapter of full text summarized and prospected.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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