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A novel framework for low-light colour image enhancement and denoising | IEEE Conference Publication | IEEE Xplore

A novel framework for low-light colour image enhancement and denoising


Abstract:

This article describes a novel framework for low-light colour image enhancement and denoising. To avoid influences from different colour channels, noise reduction and bri...Show More

Abstract:

This article describes a novel framework for low-light colour image enhancement and denoising. To avoid influences from different colour channels, noise reduction and brightness/contrast enhancement are performed in different colour spaces. In the HSI space, the Bilateral filter is used for illumination- and reflection-component separation, and is effective for edge-preservation, halo removal and noise suppression. Brightness/contrast are extrapolated by using a newly designed histogram, where a suppression term based on the statistics of mathematical expectation and standard deviation was added to improve the algorithm's adaptability. Meanwhile, a saturation enhancement function was proposed to ensure more natural colours. In the YCbCr space, based on noise characteristics in low-light images, Gaussian and Median filters were adopted to reduce the noise. Experimental results indicate that the algorithm is effective for low illumination compensation, colour restoration and noise reduction.
Date of Conference: 27-30 September 2011
Date Added to IEEE Xplore: 05 March 2012
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Conference Location: Dalian

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