An Efficient Detail-Preserving Random-Valued Impulse Noise Filter

Abstract:

This paper presents an efficient detail-preserving random-valued impulse noise filter. The proposed method introduced an image statistic, the decision-based rank ordered absolute differences (DROAD for short), to distinguish image details from impulses. This reduces the probability of detecting image details as impulses. Besides, in order to search for suitable thresholds at noise detecting phase, we present the Q-estimate of variance in noisy image. According to image variance, we define a threshold for each pixel. This makes more impulses can be identified. Experiments results show that our filter provides a significant improvement over many other existing techniques.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 1407-1412
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.1407
• Online since: May 2013
• Authors: Ji Bao Hu
• Keywords: DROAD, Image Details, Impulse Noise, Q-Estimate

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