Adaptive block-based singular value decomposition filtering

Sae-Bae, Napa; Udomhunsakul, Somkait

doi:10.1109/CGIV.2007.15

Adaptive block-based singular value decomposition filtering

Author(s)

Sae-Bae, Napa

Udomhunsakul, Somkait

Date Issued

December 1, 2007

Type

Conference Paper

DOI

10.1109/CGIV.2007.15

Abstract

Noise reduction is one of the most important processes to enhance the quality of reconstructed image. In this paper, we present an adaptive block-based singular value decomposition method for noise reduction. Instead of applying block-based singular value decomposition (BSVD) directly to noisy images, we propose to apply BSVD on the noisy edge image version obtained from the difference between the original noisy image and its blur image version. From the experimental results, we demonstrate that our proposed approach compared with traditionally methods can remove noise, preserve edges as well as effectively smooth in the homogenous region. Therefore, our method leads to a practical method to be used for noise reduction. © 2007 IEEE.

Citation

Computer Graphics Imaging and Visualisation New Advances CGIV 2007, 298-303, 2007