A new method for mobile phone image denoising

Lianghai Jin; Min Jin; Xiang Li; Xiangyang Xu

doi:10.1117/12.2204719

17 December 2015 A new method for mobile phone image denoising

Lianghai Jin, Min Jin, Xiang Li, Xiangyang Xu

Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 98110O (2015) https://doi.org/10.1117/12.2204719
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Lianghai Jin, Min Jin, Xiang Li, and Xiangyang Xu "A new method for mobile phone image denoising", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110O (17 December 2015); https://doi.org/10.1117/12.2204719

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KEYWORDS

Cell phones

Denoising

Image filtering

Digital filtering

Image processing

Image denoising

Ultraviolet radiation

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