标题：Image Denoising Algorithm Based on DTCWT and Adaptive Windows
作者：Liu, Yushu; Jiang, Mingyan
作者机构：[Liu, Yushu; Jiang, Mingyan] Shandong Univ, Sch Informat Sci & Engn, Jinan, Peoples R China.
会议名称：3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT)
会议日期：JUL 09-11, 2010
来源：PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 8
关键词：image denoising; dual-tree complex wavelet transform; directional window
摘要：In this paper, a new image denoising algorithm based on dual-tree complex wavelet transform (DTCWT) is proposed, in which directional windows are chosen as local neighborhood to estimate the variance. For the different subbands within the same scale, better estimation about energy cluster can obtained by ellipse windows than square windows, and the sizes of the ellipse windows for different scales are also different. The experimental results indicate that the method of choosing directional ellipse windows is uncomplicated and effective. Compared with the LAWMAP method, PSNR gained by our proposed method is higher by 0.7 dB at most, and visual quality is also improved.