DocumentCode
232450
Title
Image denoising based on quaternion wavelet Q-HMT model
Author
Fang-fei Yu ; Xia Liu ; Li-gang Sun
Author_Institution
Sch. of Electr. Eng. & Inf., Northeast Pet. Univ., DaQing, China
fYear
2014
fDate
28-30 July 2014
Firstpage
6279
Lastpage
6282
Abstract
Based on the algorithm of wavelet domain HMT model, the image achieved often has ringing distortion in the edge. This paper puts forward a model based on quaternion wavelet Q-HMT model. Combining the quaternion wavelet transform model with the traditional HMT model, the new algorithm has the advantage of good translation without deformation and the advantage of the rich phase. The experimental results show that this algorithm is superior to the traditional algorithm of denoising in peak signal-to-noise ratio and image effect is more superior to the traditional denoising algorithm.
Keywords
image classification; image denoising; wavelet transforms; image denoising; image effect; peak signal-to-noise ratio; quaternion wavelet Q-HMT model; quaternion wavelet transform model; ringing distortion; Decision support systems; Zinc; HMT model; Image denoising; Peak signal to noise ratio(PSNR); Quaternions wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6896020
Filename
6896020
Link To Document