Browse > Article
http://dx.doi.org/10.6109/jkiice.2016.20.10.1955

Salt and Pepper Noise Removal using Cubic Spline Interpolation  

Kwon, Se-Ik (Dept. of Control and Instrumentation Eng., Pukyong National University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.10, 2016 , pp. 1955-1960 More about this Journal
Abstract
Currently, with the rapid development in digital era, the image equipment related to multi-media is becoming commercialized. However, in the process of transmitting image data, deterioration occurs due to various causes, and the most representative deterioration is salt and pepper noise. There are many methods of eliminating salt and pepper noise such as SWMF, RSIF, MNRF, which are rather insufficient in eliminating noise in high-density slat and pepper noise environment. Therefore, in order to eliminate salt and pepper noise, this thesis proposes an algorithm by first judging the noise, and when the center pixel value is non-noise, the original pixel is preserved, and when it is noise, the partial mask is subdivided into 4 directions to apply cubic spline interpolation to the direction with most non-noise pixels. Also, for the objective judgement, it was compared to existing methods, and the PSNR(peak signal to nise ratio) was set as the judgement standard.
Keywords
Salt and pepper noise; Cubic spline interpolation; Noise removal;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 R. C. Gonzalez and R. E. woods, Digital Image Processing, 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2008.
2 K. N. Plataniotis and A. N. Venetsanopoulos, Color Image Processing and Applications, 1st ed. Berlin, Germany: Springer, 2000.
3 K. K. V. Toh, H. Ibrahim, and M. N. Mahyuddin, "Salt-and-pepper noise detection and reduction using fuzzy switching median filter," IEEE trans. Consumer Electron., vol. 54, no. 4, pp. 1956-1961, Nov.2008.   DOI
4 L. Xu and N. H. Kim, "A Study on the Spatial Weighted Filter in AWGN Environment," JKIICE, vol. 17, no.3, pp.724-729, Mar. 2013.
5 S. I. Kwon and N. H. Kim, "Salt and Pepper Noise Removal using Histogram," JKIICE, vol. 20, no.2, pp.394- 400, Feb. 2016.
6 R. Oten and R. J. P. Figueiredo, "Adaptive Alpha-Trimmed Mean Filters Under Deviations From Assumed Noise Model", IEEE Trans, Image Processing, vol. 13, no. 5, pp. 627-639, May 2004.   DOI
7 L. Xu and N. H. Kim, "An Improved Weighted Filter for AWGN Removal," JKIICE, vol. 17, no. 5, pp. 1227- 1232, May 2013.
8 J. Wang and J. Hong, "A New Selt-Adaptive Weighted Filter for Removing Noise in Infrared Images," IEEE Information Engineering and Computer Science, ICIECS International Conference, pp.1-4, Dec. 2009.
9 S. I. Kwon and N. H. Kim, "Noise Removal using Modified Swhitching Filter in Mixed Noise Environments," JKIICE, vol.20, no.6, pp.1215-1220, Jun. 2016.
10 S. I. Kwon and N. H. Kim, "Mixed Noise Removal using Histogram and Pixel Information of Local Mask," JKIICE, vol.20, no.3, pp.647-653, Mar. 2016.