An Image Information Extraction Algorithm for Salt and Pepper Noise on Fractional Differentials

Abstract:

An image information extraction algorithm on fractional differentials is put forward in this paper that is based on the characteristics of fractional differential in signal processing. This paper has extracted the information of salt and pepper noise images with various coefficients, and analyzed and compared it with the information extraction results of classic integer-order operators as Prewitt, Roberts and Sobel. Experiments have shown that not only the high-frequency marginal information can be extracted by extracting information with fractional differentials, just as it is extracted with integer-order operators, but the texture information can also be extracted from the smooth region. Besides, this algorithm is featured with great noise immunity against salt and pepper noises.

• Periodical: Advanced Materials Research (Volumes 179-180)
• Pages: 1011-1015
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.179-180.1011
• Online since: January 2011
• Authors: Ming Liang Hou, Yu Ran Liu, Qi Wang
• Keywords: Fractional Differential, Image Information Extraction, Noise Immunity, Pepper Noises, Salt Noises

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