COLOR IMAGE DENOISING USING E-NEIGHBORHOOD GAUSSIAN MODEL

被引：1

作者：

Hara, Takayuki ^{[1
]}

Guan, Haike ^{[1
]}

机构：

[1] Ricoh Co Ltd, Yokohama, Kanagawa 2240035, Japan

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

Image Denoising; Color Noise; Bilateral Filtering; MAP Estimation;

D O I：

10.1109/ICIP.2010.5651910

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a novel denoising algorithm for color images. It is difficult to reduce color noise at high speed without losing image details. To solve this problem, the proposed method employs maximum a posteriori (MAP) estimation based on a Gaussian model in epsilon-neighborhood of the pixel and CIELAB color space. Using the correlation between RGB components in epsilon-neighborhood, color noise is reduced efficiently. Computational complexity is low because the method consists of non-iterative filtering and simple matrix operations. Experiments confirm that the proposed method preserves more image details, delivers PSNR close to state-of-the-art denoising algorithms, and involves less computation.

引用

页码：1921 / 1924

页数：4