Abstract
This paper presents a novel peer group filtering method for impulsive noise reduction. The main contributions of the proposed method are twofold. First, noise detection is performed in the CIELab, instead of the RGB, color space to enhance the noise detection effect. Secondly, two different-sized windows are used to determine the peer group for deducing more accurate status of each pixel, alleviating the problem of deducing non-corrupted pixels as corrupted in the neighborhood of edges in the textural regions. Based on five typical test color images, experimental results demonstrate that the proposed method achieves better performance in noise detection and hence noise reduction when compared to five existing competitive methods.
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Chung, KL., Yang, WN., Lai, YR. et al. Novel peer group filtering method based on the CIELab color space for impulse noise reduction. SIViP 8, 1691–1713 (2014). https://doi.org/10.1007/s11760-012-0403-4
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DOI: https://doi.org/10.1007/s11760-012-0403-4