A Study on Modified Switching Filter Using Region Segmentation 


Vol. 41,  No. 10, pp. 1284-1289, Oct.  2016


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  Abstract

Recently, digital image processing is applied a lot to the broadcasting, communication, computer graphic, and medical sectors. It generates noise when data is transmitted. There are many kinds of noises that add to the image such as salt and pepper noise, AWGN, and complex noise. Thus, this study divides the corrupted image into four4 areas and estimates the types of noises each pixel, and this study suggested a switching filter that separates the estimated into salt and pepper noise and AWGN. In the case that center pixel of local mask is corrupted by salt and pepper noise, it used a histogram probability weighting of subdivided area. Also, in case that it is corrupted by AWGN, algorithm that is applied to with different weights given for the distribution of each area with using subdivided area"s distribution was suggested. For an objective comparison and conclusion, this study used PSNR and compared to existing methods.

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  Cite this article

[IEEE Style]

S. Kwon and N. Kim, "A Study on Modified Switching Filter Using Region Segmentation," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 10, pp. 1284-1289, 2016. DOI: .

[ACM Style]

Se-ik Kwon and Nam-ho Kim. 2016. A Study on Modified Switching Filter Using Region Segmentation. The Journal of Korean Institute of Communications and Information Sciences, 41, 10, (2016), 1284-1289. DOI: .

[KICS Style]

Se-ik Kwon and Nam-ho Kim, "A Study on Modified Switching Filter Using Region Segmentation," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 10, pp. 1284-1289, 10. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880