An Improved Image Denoising Algorithm Based on Wavelet Transform Modulus Maximum

摘要：

This paper proposes an improved image denoising algorithm, which uses a piecewise cubic spline interpolation algorithm to reconstruct wavelet coefficients after denoising based on Modulus Maximum Principle first, and then recompose the image using the mallat algorithm. Experiments show that the approximate wavelet coefficients of the original image are offered through this algorithm, and denoising is obvious.

关键词： modulus maxima image de-noising cubic spline interpolation algorithm wavelet coefficients reconstruction

作者: GUO Chao-feng LI Mei-lian

作者单位: College of Computer Science & Technology Xuchang University Xuchang, Henan, 461000, CHINA

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 296-299

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）