Title :
Improved Soft Threshold Denoising Algorithm Based on Sensitive Characteristics of the Human Visual
Author :
Wei-Jian Mo ; Bai-Hui Zhu ; Zhi-Ping Wan
Author_Institution :
Dept. of Exp. & Inf. Manage., Xinhua Coll. of Sun Yat-sen Univ., Guangzhou, China
Abstract :
Existing de-noising algorithm´s de-noising result is not satisfactory. In response to this phenomenon, this paper presents an improved soft threshold de-noising algorithm based on sensitive characteristics of the human visual. According to the inherent characteristics of the human eye´s visual, we improved soft threshold de-noising algorithm. After simulation experiment, the experimental results conform to the expected results. It has the characteristics of high efficiency and low power consumption.
Keywords :
image denoising; image segmentation; wavelet transforms; human visual; improved soft threshold denoising algorithm; power consumption; sensitive characteristics; wavelet threshold denoising principle; Algorithm design and analysis; Educational institutions; Noise; Noise reduction; Visualization; Wavelet coefficients; Image de-noising; Threshold de-noising; human visual; soft threshold de-noising algorithm;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.53
