Information and Media Technologies
Online ISSN : 1881-0896
ISSN-L : 1881-0896
Media (processing) and Interaction
Image Denoising with Sparsity Distillation
Satoshi KawataNao Mishima
著者情報
ジャーナル フリー

2015 年 10 巻 3 号 p. 459-463

詳細
抄録

We propose a new image denoising method with shrinkage. In the proposed method, small blocks in an input image are projected to the space that makes projection coefficients sparse, and the explicitly evaluated sparsity degree is used to control the shrinkage threshold. On average, the proposed method obtained higher quantitative evaluation values (PSNRs and SSIMs) compared with one of the state-of-the-art methods in the field of image denoising. The proposed method removes random noise effectively from natural images while preserving intricate textures.

著者関連情報
© 2015 Information Processing Society of Japan
前の記事 次の記事
feedback
Top