Share Email Print

Proceedings Paper

A new method for mobile phone image denoising
Author(s): Lianghai Jin; Min Jin; Xiang Li; Xiangyang Xu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Images captured by mobile phone cameras via pipeline processing usually contain various kinds of noises, especially granular noise with different shapes and sizes in both luminance and chrominance channels. In chrominance channels, noise is closely related to image brightness. To improve image quality, this paper presents a new method to denoise such mobile phone images. The proposed scheme converts the noisy RGB image to luminance and chrominance images, which are then denoised by a common filtering framework. The common filtering framework processes a noisy pixel by first excluding the neighborhood pixels that significantly deviate from the (vector) median and then utilizing the other neighborhood pixels to restore the current pixel. In the framework, the strength of chrominance image denoising is controlled by image brightness. The experimental results show that the proposed method obviously outperforms some other representative denoising methods in terms of both objective measure and visual evaluation.

Paper Details

Date Published: 17 December 2015
PDF: 8 pages
Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110O (17 December 2015); doi: 10.1117/12.2204719
Show Author Affiliations
Lianghai Jin, Huazhong Univ. of Science and Technology (China)
Min Jin, Tianjin Polytechnic Univ. (China)
Xiang Li, Huazhong Univ. of Science and Technology (China)
Xiangyang Xu, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 9811:
MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis
Jinxue Wang; Zhiguo Cao; Jayaram K. Udupa; Henri Maître, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?