TAILIEUCHUNG - Báo cáo sinh học: " Research Article A New Switching-Based Median Filtering Scheme and Algorithm for Removal of High-Density Salt and Pepper Noise in Images"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article A New Switching-Based Median Filtering Scheme and Algorithm for Removal of High-Density Salt and Pepper Noise in Images | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 690218 11 pages doi 2010 690218 Research Article A New Switching-Based Median Filtering Scheme and Algorithm for Removal of High-Density Salt and Pepper Noise in Images V. Jayaraj and D. Ebenezer Digital Signal Processing Laboratory Sri Krishna College of Engineering and Technology Coimbatore Anna University Coimbatore Tamilnadu 641008 India Correspondence should be addressed to V. Jayaraj jayaraj_mevlsi@ Received 21 December 2009 Revised 8 May 2010 Accepted 17 June 2010 Academic Editor Satya Dharanipragada Copyright 2010 V. Jayaraj and D. Ebenezer. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A new switching-based median filtering scheme for restoration of images that are highly corrupted by salt and pepper noise is proposed. An algorithm based on the scheme is developed. The new scheme introduces the concept of substitution of noisy pixels by linear prediction prior to estimation. A novel simplified linear predictor is developed for this purpose. The objective of the scheme and algorithm is the removal of high-density salt and pepper noise in images. The new algorithm shows significantly better image quality with good PSNR reduced MSE good edge preservation and reduced streaking. The good performance is achieved with reduced computational complexity. A comparison of the performance is made with several existing algorithms in terms of visual and quantitative results. The performance of the proposed scheme and algorithm is demonstrated. 1. Introduction Images are often corrupted by impulsive noise in addition to several other types of noise. There are two models of impulsive noise namely salt and pepper noise and random valued impulse noise. Salt and pepper noise is sometimes called

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