Title :
Image denoising algorithm based on DTCWT and adaptive windows
Author :
Liu, Yushu ; Jiang, Mingyan
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
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.
Keywords :
image denoising; trees (mathematics); wavelet transforms; PSNR; adaptive windows; directional windows; dual-tree complex wavelet transform; ellipse windows; image denoising algorithm; Noise measurement; Noise reduction; PSNR; Radio access networks; directional window; dual-tree complex wavelet transform; image denoising;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564033
