tailieunhanh - báo cáo hóa học:" Research Article Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming"

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 Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 372180 11 pages doi 2009 372180 Research Article Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming Hsiang-Chieh Chen1 and Wen-June Wang1 2 1 Department of Electrical Engineering National Central University Taoyuan 32001 Taiwan 2 Department of Electrical Engineering National Taipei University of Technology Taipei 10608 Taiwan Correspondence should be addressed to Wen-June Wang wjwang@ Received 18 February 2009 Revised 6 June 2009 Accepted 26 August 2009 Recommended by William Sandham This work presents an innovative two-stage interpolation algorithm for image resolution enhancement and zooming applications. The desired high-resolution images are obtained via two interpolative stages. In the first stage aligned pixels are first estimated using a fuzzy inference system whose critical parameters are optimized by particle swarm intelligence. In the second stage interior pixels are then restored by utilizing the edge properties of nearby pixels. From experimental results numerical comparison confirms the superiority of the proposed interpolation algorithm over other existing methods. Furthermore visual illustrations including zoomed parts and error maps demonstrate the significant improvement of the proposed method particularly in the regions that contain many local edges and sharp details. Copyright 2009 . Chen and . Wang. 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 In fundamental image processing techniques image interpolation methods are extensively researched because of their wide use of digital imaging applications such as consumer electronics multimedia transmission remote sensing and medical imaging. The image .