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New Algorithm for Arbitrary-ratio Image Resizing in DCT Domain  

Kim, Yong-Jae (가톨릭대학교 대학원 컴퓨터공학과 신호처리 연구실)
Lee, Chang-Woo (가톨릭대학교 정보통신전자공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.2C, 2007 , pp. 113-123 More about this Journal
Abstract
In Ubiquitous communication environment, various conversions of images are essential, and most digital images are compressed by standard methods such as the Joint Photographic Expert Group (JPEG) and Motion Picture Expert Group (MPEG) which are based on the discrete cosine transform (DCT). In this paper, various image resizing algorithms in the DCT domain are analyzed, and a new image resizing algorithm, which shows superior performance compared with the conventional methods, is proposed. For arbitrary-ratio image resizing in the DCT domain, several blocks of $8{\times}8$ DCT coefficients are converted into one block using the conversion formula in the proposed algorithm, and the size of the inverse discrete cosine transform (IDCT) is decided optimally. The performance is analyzed by comparing the peak signal to noise ratio (PSNR) between original images and converted images. The performance of the proposed algorithm is better than that of the conventional algorithm, since the correlation of pixels in images is utilized more efficiently.
Keywords
DCT Domain; Arbitrary-ratio Image Resizing; Subband DCT; Composite Length DCT;
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