Salt-and-pepper noise removal by adaptive median-based lifting filter using second-generation wavelets
- 706 Downloads
In this paper, we propose a novel adaptive median-based lifting filter for image de-noising which has been corrupted by homogeneous salt and pepper noise. The median-based lifting filter removes the noise of the input image by calculating the median of the neighboring significant pixels. The algorithm for image noise removal uses the lifting scheme of the second-generation wavelets in conjunction with the proposed adaptive median-based lifting filter. The experimental results demonstrate the efficiency of the proposed method. The proposed algorithm is compared with all the basic filters, and it is found that our method outperforms many other algorithms and it can remove salt and pepper noise with a noise level as high as 90%. The algorithm works exceedingly well for all levels of noise, as illustrated in terms of peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) measures.
KeywordsAdaptive median filter Salt and pepper noise Second-generation wavelets Lifting filter
Unable to display preview. Download preview PDF.
- 2.Jaiswal, T., Siddavatam, R.: Image noise cancellation by lifting filter using second generation wavelets. In: Proceedings of IEEE International Conference on Advances in Recent Technologies in Communication and Computing, pp. 667–671. Kerala, India, Oct. 27–28 (2009)Google Scholar
- 3.Siddavatam, R., Sandeep, K., Mittal, R.K.: A fast progressive image sampling using lifting scheme and non-uniform B-Splines. In: Proceedings of IEEE International Symposium on Industrial Electronics ISIE −07, pp. 1645–1650. Vigo, Spain, June 4–7 (2007)Google Scholar
- 18.Acharya T., Tsai P.S.: JPEG 2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures. Wiley, London (2005)Google Scholar