21 July 2017 Optimization of wavelet threshold denoising based on edge detection
Author Affiliations +
Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104200O (2017) https://doi.org/10.1117/12.2282081
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
Traditional wavelet threshold denoising algorithm is insufficient for the preservation of edge detail information and the separation of noise. In this paper, proposed the optimization of wavelet threshold denoising method based on edge detection, which to process the edge image obtained by the wavelet edge detection algorithm, and fuse the smoothing image produced by the improved threshold function model. Experimental results show that compared with the traditional wavelet threshold denoising method, this algorithm effectively preserves the edge information of the image and remove the noise, also improved signal to noise ratio obviously
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ning Li, Jinyuan Zhang, Zhongliang Deng, "Optimization of wavelet threshold denoising based on edge detection ", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200O (21 July 2017); doi: 10.1117/12.2282081; https://doi.org/10.1117/12.2282081
PROCEEDINGS
5 PAGES


SHARE
Back to Top