Spatial adaptive wavelet thresholding for image denoising

被引：24
|
作者：
Chang, SG
Vetterli, M
机构：
来源：
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL II | 1997年
关键词：
D O I：
10.1109/ICIP.1997.638782
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wavelet thresholding with uniform threshold has shown some success in denoising. For images, Re 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.
引用
收藏
页码：374 / 377
页数：4
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