Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:M3-5
Session:
Number:M3-5-5
Local Signal-Dependent Noise Estimation on Texture Domain for CFA Raw Images
Kyu-Ho Lee, Jong-Ok Kim ,
pp.371-374
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
In this paper, we propose a method of signal-dependent noise estimation and denoising that operates on the CFA raw image. The proposed method effectively deals with signal dependent noise by estimating and denoising noise on the texture domain in a CFA LR component-wise and localized manner. The proposed method is practically evaluated on a simulated end-to-end imaging pipeline. The experimental results indicate that the proposed method indeed efficiently removes signal-dependent noise.