一种新的基于小波变换的图像去噪算法  

A Novel Wavelet-based Image Denoising Algorithm

作　　者：陆斌[1] 侯熙平[2] 刘波[3] 

机构地区：[1]海军航空工程学院控制工程系,烟台264001 [2]山东黄金集团,烟台264006 [3]湖北武汉海军工程大学,武汉430033

出　　处：《微处理机》2007年第6期70-72,共3页Microprocessors

摘　　要：小波去噪算法的关键是如何处理小波变换系数。把电路中同或的思想引入图像去噪领域,在识别信噪属性时,综合考虑了小波系数的模极大值、相位等因素,提出了小波域同或去噪算法。较之经典方法,此方法在改善去噪效果的同时提高了算法的执行速度。The key to the wavelet- based denoising techniques is how to manipulate the wavelet coefficients. By referring the idea of Inclusive - OR in the design of circuits, this paper proposed a new algorithm called wavelet domain Inclusive - OR denoising algorithm （WDIDA） , which distinguishes the wavelet coefficients belonging to image or noise by considering their phases and modulus maxima simultaneously. Compared to traditional wavelet- based denoising algorithm, using this new algorithm, the denoising effects are improved and also the computation times are lowered.

关 键 词：图像去噪 小波变换 同或 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]