A New Approach of Lossy Image Compression
Based on Hybrid Image Resizing Techniques
Jau-Ji
Shen1, Chun-Hsiu Yeh2,3, and Jinn-Ke Jan2
1Department
of Management Information Systems, National Chung Hsing University, Taiwan
2Department of Computer Science and Engineering,
National Chung Hsing University, Taichung
3Department
of Information Management Systems, Chung Chou University, Taiwan
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.
Keywords: Differential image,
Image compression, Image rescaling, Image resolution improvement.