Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Nonlinear Decision-Based Algorithm for Removal of Strip Lines, Drop Lines, Blotches, Band Missing and Impulses in Images and Videos | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 485921 10 pages doi 2008 485921 Research Article A Nonlinear Decision-Based Algorithm for Removal of Strip Lines Drop Lines Blotches Band Missing and Impulses in Images and Videos S. Manikandan and D. Ebenezer Digital Signal Processing Laboratory Sri Krishna College of Engineering and Technology Coimbatore Anna University Tamilnadu 641008 India Correspondence should be addressed to S. Manikandan mani567@ Received 11 May 2007 Revised 3 December 2007 Accepted 21 July 2008 Recommended by Benoit Macq A decision-based nonlinear algorithm for removal of strip lines drop lines blotches band missing and impulses in images is presented. The algorithm performs two simultaneous operations namely detection of corrupted pixels and estimation of new pixels for replacing the corrupted pixels. Removal of these artifacts is achieved without damaging edges and details. The algorithm uses an adaptive length window whose maximum size is 5 X 5 to avoid blurring due to large window sizes. However the restricted window size renders median operation less effective whenever noise is excessive in which case the proposed algorithm automatically switches to mean filtering. The performance of the algorithm is analyzed in terms of mean square error MSE peak-signal-to-noise ratio PSNR and image enhancement factor IEF and compared with standard algorithms already in use. Improved performance of the proposed algorithm is demonstrated. The advantage of the proposed algorithm is that a single algorithm can replace several independent algorithms required for removal of different artifacts. Copyright 2008 S. Manikandan 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. 1. INTRODUCTION It is well known that linear
