Abstract In this study, we coordinated and employed known image resizing techniques to replace the widely applied image compression techniques defined by the Joint Photographic Experts Group (JPEG). The JPEG approach requires additional information from a quantization table to compress and decompress images. Our proposed scheme requires no additional data storage for compression and decompression and instead of using compression code it uses shrunken images that can be read visually. Experimental results indicate that the proposed method can coordinate typical image resizing techniques effectively to yield enlarged (decompressed) images that are better in quality than JPEG images. Our novel approach to lossy image compression can improve the quality of decompressed images and could replace the use of JPEG compression in current image resizing techniques, thus enabling compression to be performed directly in the spatial domain without the need for complex conversion in the frequency domain.

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[25] Wallace G., “The JPEG Still Picture Compression Standard,” Communications of the ACM, vol. 34, no. 4, pp. 30-44, 1991. A New Approach of Lossy Image Compression Based on Hybrid Image Resizing Techniques 235 Jau-Ji Shen received his Ph.D. degree from National Taiwan University in 1988, and the master degree from National Chung Hsing University in 1984. His research interests include digital image, software engineering, information security, and data base technique. His work experiences include the Director at National Formosa University Library and the Associate Dean at Chaoyang University of Technology. Now, he is a professor in the Department of Management Information Systems, National Chung Hsing University. Chun-Hsiu Yeh received the B.S. degree in management information systems from Chaoyang University of Technology, Taichung, Taiwan in 1997, and the M.S. degree in information management from Chaoyang University of Technology, Taichung, Taiwan in 2001. She is currently pursuing the Ph.D. degree in information engineering from National Chung Hsing University in Taiwan. Her current research interests include image processing and image restore. Jinn-Ke Jan was born in Taiwan in 1951. He received the B.S. degree in physics from Catholic Fu Jen University in 1974 and the M.S. degree in information and computer science from the University of Tokyo in 1980. He studied Software Engineering and Human-Computer Interface in the University of Maryland, College Park, MD, during 1984-1986. He is presently a professor and the chairman of the department of Computer Science & Engineering at National Chung Hsing University. He is currently a member of the Chinese Association for Information Security. From 1995 to 1997, he was the Director of the Counseling Office for Overseas Chinese and Foreign Students. From 1997 to 2000, he was the Director of the Computer Center at National Chung Hsing University. From 2005 to 2008, he was the Head of the department of Computer Science & Engineering. His research interests include computer cryptography, human factors of designing software and information systems, ideograms I/O processing, data structures and coding theory.