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 Edge-Detected Guided Morphological Filter for Image Sharpening | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 970353 9 pages doi 2008 970353 Research Article Edge-Detected Guided Morphological Filter for Image Sharpening T. A. Mahmoud and S. Marshall EURASIP Member Department of Electronic and Electrical Engineering University of Strathclyde 204 George Street Glasgow G1 1XW UK Correspondence should be addressed to S. Marshall Received 26 February 2008 Revised 23 July 2008 Accepted 6 November 2008 Recommended by Ferran Marques A new edge-guided morphological filter is proposed to sharpen digital images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success of threshold decomposition gradient-based operators are used to detect the locations of the edges. A morphological filter is used to sharpen these detected edges. Experimental results demonstrate that the performance of these detected edge deblurring filters is superior to that of other sharpener-type filters. Copyright 2008 T. A. Mahmoud and S. Marshall. 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 Pictures or images play an important role as a mass communication medium. The tremendous volume of optical information and the need for its processing and transmission have paved the way to image processing by digital computers 1 . Image sharpening has played an important role in image processing since the beginning of the digital image revolution 2 . Thus many well-known techniques for image sharpening exist today and are readily available in most commercial software packages. Moreover sharpening of images is becoming increasingly important as closed-circuit television CCTV becomes more pervasive and the identification of people for .
