【正文】 .......................... 2 第 1 章 緒論 .................................................................................................................. 4 圖像去噪的現(xiàn)狀及發(fā)展趨勢 ......................................................................... 4 圖像去噪的研究現(xiàn)狀 ........................................................................ 4 基于小波域的圖像去噪的發(fā)展趨勢 ................................................... 5 研究圖像去噪的理由與意義 ......................................................................... 5 第 2 章 基本原理與概念 .............................................................................................. 6 圖像噪聲 ......................................................................................................... 6 去噪效果評價 ................................................................................................. 6 小波變換 ......................................................................................................... 8 連續(xù)小波 變換 ....................................................................................... 8 離散小波變換 .................................................................................... 9 第 3 章 圖像去噪的常用方法及分析 ...................................................................... 11 均值濾波 ....................................................................................................... 11 均值濾波的原理 ................................................................................ 11 中值濾波 ....................................................................................................... 12 中值濾波的原理 ................................................................................ 12 基于 matlab 中值濾波去噪方法的代碼實現(xiàn)及分析 ..................... 12 維納濾波 ....................................................................................................... 13 維納濾波的原理 ................................................................................ 13 基于 matlab 維納濾波去噪方法的代碼實現(xiàn)及分析 ........................ 14 第 4 章 基于小波域圖像去噪方法及分析 ................................................................ 15 圖像小波去噪原理 ........................................................................................ 15 小波去噪的優(yōu)越性 ........................................................................................ 15 小波閾值去噪 ............................................................................................... 15 閾值的選取及其新型確定方法 ................................................................... 16 閾值常用確定方法 ............................................................................. 16 閾值新型確定方法 試探法 .............................................................. 17 小波基的選取對圖像去噪的影響 ............................................................... 19 第 5 章 綜合比較分析及結(jié)論 .................................................................................... 22 ............................................................................................ 22 對以上幾種去噪方法的綜合比較分析 ....................................................... 24 第 1 章 緒論 圖像去噪的現(xiàn)狀及發(fā)展趨勢 圖像去噪的研究現(xiàn)狀 圖像去噪，是一個古老的課題，而人們也根據(jù)實際圖像的特點、噪聲的統(tǒng)計特征和頻譜分布的規(guī)律，發(fā)展了各式各樣的去噪方法，在保留有用細節(jié)不被破壞的前提下，如何對信號中噪聲進行有效地濾除一直是研究的熱點。最后一章為綜合比較分析及結(jié)論。第三章為圖像去噪的常用方法及分析。第一章為緒論。第五章對均值濾波，中值濾波，維納濾波及基于小波域的 圖像去噪進行了綜合的比較分析，得出了相關(guān)結(jié)論，即基于小波域的圖像去噪后的效果明顯優(yōu)于其他的幾種。在第三章中，本文重點說明了中值濾波，均值濾波，維納濾波的基本原理，并且完成了對它們的 matlab 代碼實現(xiàn)及結(jié)果分析。在這篇文章中，首先介紹了圖像去 噪的現(xiàn)狀和發(fā)展趨勢及研究圖像去噪的理由和意義。小波分析是國際上新興的一個前沿研究領(lǐng)域 ,小波理論因其時頻域局部化特性而成為一種有效的分析工具 ,以小波分析為工具進行數(shù)字圖像處理則是小波研究與應(yīng)用的熱點之一。摘要 數(shù)字圖像在其形成、傳輸和記錄過程中，由于成像系統(tǒng)、傳輸介質(zhì)和記錄設(shè)備的不完善往往使得獲取的圖像受到多種噪聲的污染。因此在模式識別、計算機視覺、圖像分析和視頻編碼等領(lǐng)域，噪聲圖像的前期處理極其重要，其處理效果的好壞將直接影響到后續(xù)工作的質(zhì)量和結(jié)果。本文在簡述圖像去噪的傳統(tǒng)方法后 ,對基于小波變換的圖像去噪作了較深入的研究。在第二章中，本文著重介紹了圖像噪聲，去噪效果如何評價及小波變換的基本原理。第四章是本文重點，主要介紹了圖像小波去噪的原理，小波去噪的優(yōu)越性，小波閾值去噪的原理及閾值常用確定方法 ,在總結(jié)過去的確定閾值方法中，提出了閾值選取的新方法－試探法，分析了小波基的選取對圖像去噪的影響，并且用結(jié)果對其進行了證明。 本文共分為五章。第二章為圖像去噪的基本原理與概念。第四章為基于小波域的圖像去噪方法及分析。 關(guān)鍵詞： 圖像去噪，均值濾波，中值濾波，維納濾波，小波變換，閾值 ABSTRACT In the formation, transmission and recording process of digital image, because imaging system, transmission media and recording devices are often imperfect images obtained are polluted by various noises. In pattern recognition, puter vision, image analysis and video coding and other areas, noise image preprocessing is extremely important, and whether its effect is good or bad will have a direct impact on the followup to the quality and analysis is a novel research field in the has a perfect performance on both local time and frequency domain,so it is an effective analytical image processing by the aid of wavelet analysis is one of the hot issues of wavelet research and a brief description of the traditional methods of image denoising,this paper makes a deep research on image denoising. In the paper,it introduces the status of image denoising, their developing trend and also the reasons and significance of imaged denoising. In the second chapter, it introduces the basic principles the image denoising and concepts of the image denoising ,which include classification of noise and its impact on image ,the evaluation of image denoising results and wavelet transform theory. Chapter 3 describes mon methods of the image denoising ,including the realization of Matlab code and analysis of the mean filter, filtering and Wiener filter. Chapter 4 of this essay is the most important part of the focuses on image denoising based on wavelet, In summing up the past experience of choosing thresholds,it introduces a new threshold estimation methodprobe method and the analysis of wavelet Selection based on the image denoising, and proves its use results. The final chapter tells a prehensive parative analysis of the mean filter, filtering, the Wiener filter and image denoising based on wavelet domain. The result is that the result of the image denoising based on wavelet domain was better than several othe