Title :
Image denoising with optimized subband threshold
Author :
Guangmin, Shi ; Fudong, Li
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
Denoising is basic work for image processing. In this paper, a method based on subband threshold for image denoising is described. Thresholding is a nonlinear technique and it is very simple. But how to estimate threshold is a key problem. After studying the relationship between threshold and PSNR of image, an algorithm for estimating an optimal threshold is proposed. Results of simulation show that the best performance in image denoising may be achieved by the "optimization threshold" technique.
Keywords :
image denoising; nonlinear filters; optimisation; simulation; image denoising; image processing; optimal threshold; simulation; subband threshold; thresholding; Additive white noise; Discrete transforms; Discrete wavelet transforms; Filtering; Image denoising; Image reconstruction; Matched filters; Noise reduction; Nonlinear filters; PSNR;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
DOI :
10.1109/ICCIMA.2003.1238118
