• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Adaptive Object-Region-Based Image Pre-Processing for Noise Removal Algorithm

Vol. 7, No.12, December 29, 2013
10.3837/tiis.2013.12.012, Download Paper (Free):

Abstract

A pre-processing system for adaptive noise removal is proposed based on the principle of identifying and filtering object regions and background regions. Human perception of images depends on bright, well-focused object regions; these regions can be treated with the best filters, while simpler filters can be applied to other regions to reduce overall computational complexity. In the proposed method, bright region segmentation is performed, followed by segmentation of object and background regions. Noise in dark, background, and object regions is then removed by the median, fast bilateral, and bilateral filters, respectively. Simulations show that the proposed algorithm is much faster than and performs nearly as well as the bilateral filter (which is considered a powerful noise removal algorithm); it reduces computation time by 19.4 % while reducing PSNR by only 1.57 % relative to bilateral filtering. Thus, the proposed algorithm remarkably reduces computation while maintaining accuracy.


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Cite this article

[IEEE Style]
Sangwoo Ahn, Jongjoo Park, Linbo Luo and Jongwha Chong, "Adaptive Object-Region-Based Image Pre-Processing for Noise Removal Algorithm," KSII Transactions on Internet and Information Systems, vol. 7, no. 12, pp. 3166-3179, 2013. DOI: 10.3837/tiis.2013.12.012

[ACM Style]
Ahn, S., Park, J., Luo, L., and Chong, J. 2013. Adaptive Object-Region-Based Image Pre-Processing for Noise Removal Algorithm. KSII Transactions on Internet and Information Systems, 7, 12, (2013), 3166-3179. DOI: 10.3837/tiis.2013.12.012