CAJ | 학술논문

图像小波域去噪可克服频域去噪单-尺度的局限性,具备多尺度多分辨率的特点,已成为目前图像去噪的主要方法之一.为归纳小波变换在图像去噪领域中的应用,简要讨论图像噪声的概念、数学模型、传统图像去噪的基本原理方法,详细阐述了图像小波域去噪的基本理论、发展过程、去噪方法,评价了3种常用方法的优缺点,对小波去噪的发展趋势进行了展望.
도상소파역거조가극복빈역거조단-척도적국한성,구비다척도다분변솔적특점,이성위목전도상거조적주요방법지일.위귀납소파변환재도상거조영역중적응용,간요토론도상조성적개념、수학모형、전통도상거조적기본원리방법,상세천술료도상소파역거조적기본이론、발전과정、거조방법,평개료3충상용방법적우결점,대소파거조적발전추세진행료전망.
This paper reviews studies of wavelet transform used in image denoising. Image denoising is an indispensable part in image processing, and plays an important role in the field of computer vision. As there is only a single scale in the frequency domain, only a general information can be extracted from the image. The multi-scale and multi-resolution features of wavelet domain make it possible for image denoising to be eonducted at different scales. For a better understanding of image denoising, this paper first discusses briefly the mathematical model of image noise, the basic principles and the traditional methods used for image denoising and then, the image denoising theory based on wavelet transform. Three kinds of image denoising methods commonly used in wavelet demain are highlighted, as well as, the advantages and disadvantages of these methods. Finally, the recent development of the wavelet de-noising is reviewed.