计算机与现代化Issue(3)：165-167,171,4.DOI:10.3969/j.issn.1006-2475.2013.03.042
一种基于Huber曲面拟合的图像去噪算法
An Image Denoising Algorithm Based on Huber Surface Fitting
摘要
Abstract
An image denoising algorithm for salt & pepper noise is discussed. The method divides the image into uniformed blocks with size of 8 x8. Then each block is fitted using Huber surface regression. Since the Huber linear regression model is very robust against the salt & pepper noise, the discussed method can restore the noisy image effectively. Experimental results show that, compared with traditional method based on lest squares principle, the method can achieve better restored image quality for noisy images corrupted by salt & pepper noise.关键词
Huber回归/曲面拟合/椒盐噪声/图像去噪Key words
Huber regression/ surface fitting/ salt & pepper noise/ image denoising.分类
信息技术与安全科学引用本文复制引用
涂广毅,鲁坚,蔡志刚..一种基于Huber曲面拟合的图像去噪算法[J].计算机与现代化,2013,(3):165-167,171,4.基金项目
国家自然科学基金资助项目(61003178,11201312,61272252,11071150) （61003178,11201312,61272252,11071150）
深圳科技计划基础研究项目(JC201105170615A,JC201005280508A) （JC201105170615A,JC201005280508A）
深圳大学实验室开放基金项目(2011389) （2011389）
