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 :
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