Title :
Spatial adaptive wavelet thresholding for image denoising
Author :
Chang, S. Grace ; Vetterli, Martin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Wavelet thresholding with uniform threshold has shown some success in denoising. For images, we propose that this can be improved by adjusting thresholds spatially, based on the rationale that detailed regions such as edges and textures tolerate some noise but not blurring, whereas smooth regions tolerate blurring but not noise. The proposed algorithm is based on multiscale edge detection and image segmentation and then thresholding the coefficients of different regions with adaptive thresholds
Keywords :
adaptive signal processing; edge detection; image segmentation; image texture; noise; wavelet transforms; algorithm; blurring; coefficients; image denoising; image edges; image segmentation; image texture; multiscale edge detection; smooth regions; spatial adaptive wavelet thresholding; uniform threshold; Computer science; Filtering; Frequency; Image denoising; Image edge detection; Image segmentation; Noise reduction; Signal to noise ratio; White noise; Wiener filter;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638782
