Abstract
Various nonlinear image filters have been reported in the past years. But not a single study exhibits the performance of various filters for image enhancement analysis of image processing. This paper will show an exhaustive study and comparative analysis of Simple, Adaptive, and Decision based (DBMF), Decision-based untrimmed (DBUTM), Edge preserving median filtering techniques. This study is based on finding the parameter i.e. PSNR, MSE and IEF, Computational time. The above study will consider fixed valued impulse noise. For the analysis, the standard image of 512 × 512 size has been chosen. The simulation results have been calculated with fixed window size i.e. 3 × 3. For fixed valued noise, DBUTM and edge-preserving filters restoration results exceed other techniques. The image restoration performance of Simple Adaptive median filter exceeds counterpart at the high noise level. The DBMF is given optimized restoration in PSNR and computational time.
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References
Satpathy, S.K., Panda, S., Nagwanshi, K.K., Ardil, C.: Image restoration in non-linear filtering domain using MDB approach. Int. J. Inf. Commun. Eng. 6, 45–49 (2010)
Brownrigg, D.R.K.: The weighted median filter. Commun. ACM 27, 807–818 (1984)
Ko, S.-J., Lee, Y.H.: Center weighted median filters and their applications to image enhancement. IEEE transactions on circuits and systems 38, 984–993 (1991)
Hwang, H., Haddad, R.A.: Adaptive median filters: new algorithms and results. IEEE Trans. Image Process. 4, 499–502 (1995)
Wang, Z., Zhang, D.: Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Trans. Circ. Syst. II: Analog Digital Sig. Process. 46, 78–80 (1999)
Hsia, S.-C.: A fast efficient restoration algorithm for high-noise image filtering with adaptive approach. J. Vis. Commun. Image Represent. 16, 379–392 (2005)
Srinivasan, K.S., Ebenezer, D.: A new fast and efficient decision-based algorithm for removal of high-density impulse noises. IEEE Signal Process. Lett. 14, 189–192 (2007)
Ibrahim, H., Kong, N.S.P., Ng, T.F.: Simple adaptive median filter for the removal of impulse noise from highly corrupted images. IEEE Trans. Consum. Electron. 54, 1920–1927 (2008)
Esakkirajan, S., et al.: Removal of high-density salt and pepper noise through a modified decision based unsymmetric trimmed median filter. IEEE Signal Process. Lett. 18, 287–290 (2011)
Chen, P.-Y., Lien, C.-Y.: An efficient edge-preserving algorithm for removal of salt-and-pepper noise. IEEE Signal Process. Lett. 15, 833–836 (2008)
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Bisht, R., Vijay, R., Singh, S. (2018). Comparative Analysis of Fixed Valued Impulse Noise Removal Techniques for Image Enhancement. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_18
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DOI: https://doi.org/10.1007/978-981-13-1810-8_18
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