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A Study on Composite Filter using Edge Information of Local Mask in AWGN Environments  

Kwon, Se-Ik (Department of Control and Instrumentation Eng., Pukyong National Univ.)
Kim, Nam-Ho (Department of Control and Instrumentation Eng., Pukyong National Univ.)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.17, no.2, 2016 , pp. 71-76 More about this Journal
Abstract
Digital image processing is being utilized in various fields including medical industry, satellite photos, and factory automation image recognition. However, this kind of image data produces heat by an external cause in the course of being processed, transmitted, and stored. Most typical noises added in the images are AWGN and salt and pepper. MF, CWMF, and AWMF are methods used to restore images damaged by AWGN and the existing methods are likely to damage detailed information such as an edge. Therefore, this paper suggests an algorithm applying weight of average filter, average filter depending on pixel, and spatial weight filter based on edge size of local mask in an AWGN environment, in a different way. Also, this paper compares functions of existing methods by using PSNR to prove excellence of the suggested algorithm.
Keywords
AWGN; Corrupted image; Edge; Noise Removal PSNR;
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Times Cited By KSCI : 4  (Citation Analysis)
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