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 Novel Image Compression Method Based on Classified Energy and Pattern Building Blocks Umit Guz | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 730694 20 pages doi 2011 730694 Research Article A Novel Image Compression Method Based on Classified Energy and Pattern Building Blocks Umit Guz Department of Electrical-Electronics Engineering Engineering Faculty Isik University Sile 34980 Istanbul Turkey Correspondence should be addressed to Umit Guz guz@ Received 26 August 2010 Revised 23 January 2011 Accepted 9 February 2011 Academic Editor Karen Panetta Copyright 2011 Umit Guz. 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. In this paper a novel image compression method based on generation of the so-called classified energy and pattern blocks CEPB is introduced and evaluation results are presented. The CEPB is constructed using the training images and then located at both the transmitter and receiver sides of the communication system. Then the energy and pattern blocks of input images to be reconstructed are determined by the same way in the construction of the CEPB. This process is also associated with a matching procedure to determine the index numbers of the classified energy and pattern blocks in the CEPB which best represents matches the energy and pattern blocks of the input images. Encoding parameters are block scaling coefficient and index numbers of energy and pattern blocks determined for each block of the input images. These parameters are sent from the transmitter part to the receiver part and the classified energy and pattern blocks associated with the index numbers are pulled from the CEPB. Then the input image is reconstructed block by block in the receiver part using a mathematical model that is proposed. Evaluation results show that the method provides considerable image compression ratios and image quality .
