DocumentCode
3212499
Title
Image denoising based on Haar wavelet transform
Author
Qiang, Yang
Author_Institution
Sch. of Comput. & Inf. Eng., Yibin Univ., Yibin, China
Volume
3
fYear
2011
fDate
29-31 July 2011
Abstract
Wavelet transform has widely applied in image denoising, and how to select the threshold is the key to wavelet image denoising. The paper put forward the algorithm for image denoising based on harr wavelet transform. First, The image with noise is decomposed by Haar wavelet transform, then select the soft threshold to clean the image noise. Experiments show that the algorithm can reduce image noise effectively and improve the detail effect of picture and raise the PSNR value of image.
Keywords
Haar transforms; image denoising; wavelet transforms; Haar wavelet transform; PSNR value; image denoising; image noise reduction; image threshold; soft threshold; Graphics; Manganese; Noise reduction; PSNR; Haar Wavelet Transform; Image Denoising; Soft Threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Optoelectronics (ICEOE), 2011 International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-61284-275-2
Type
conf
DOI
10.1109/ICEOE.2011.6013318
Filename
6013318
Link To Document