Application of Optimization in Image De-noising by Shrinkage of Wavelet Coefficients

Author

Cao Tianjie ; Fang, Ding ; Chunguo, Fei

Author_Institution

Civil Aviation of Univ. of China, Tianjin, China

Volume

1

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

559

Lastpage

562

Abstract

In the paper the optimization is applied to determine the threshold of wavelet coefficients in image de-noising aiming at grayscale image corrupted by additive white Gaussian noise and Daubechies wavelet transform. In the method the entropy of an image is the optimality criteria, which makes image de-noising a process of optimizing objective index of an image. The example proves that the presented method has an advantage over the universal soft-thresholding method in both the signal-to-noise ratio and the entropy.

Keywords

AWGN; image denoising; image segmentation; optimisation; wavelet transforms; Daubechies wavelet transform; additive white Gaussian noise; grayscale image; image denoising; image entropy; objective index; optimization; signal-to-noise ratio; universal soft thresholding method; wavelet coefficient threshold; Entropy; Image denoising; Optimization; Signal to noise ratio; Wavelet coefficients; Image De-noising; Optimization; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.142

Filename

5720845