Title :
Anisotropic diffusion-based denoising using residual image for preservation of image details
Author :
GyuJin Bae ; Sung In Cho ; Young Hwan Kim
Author_Institution :
Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
Abstract :
This paper presents an anisotropic diffusion-based approach to noise reduction, which utilizes the residual image in the wavelet domain to improve the quality of image detail preservation. In the experimental results, the proposed method improves the quality of denoised images by increasing peak signal-to-noise ratio up to 1.17 dB and structural similarity index up to 0.026.
Keywords :
image denoising; wavelet transforms; anisotropic diffusion-based denoising; image details preservation; noise reduction; residual image; wavelet domain; Design automation; ISO standards; Image segmentation; Indexes; Noise reduction; PSNR; Solid modeling; Anisotropic diffusion; Image denoising; Noise reduction; residual image;
Conference_Titel :
SoC Design Conference (ISOCC), 2014 International
DOI :
10.1109/ISOCC.2014.7087590
