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Data Compression Conference (DCC'06)
Snowbird, Utah
March 28-March 30
ISBN: 0-7695-2545-8
Mark S. Schmalz, University of Florida
Object-based compression (OBC) segments regions from images, then compactly represents region contents and boundaries, thus efficiently approximating source imagery. In practice, OBC tends to exhibit superior compression ratio (CR) when compared with transform coding (e.g., JPEG, JPEG2K, or MPEG) or vector quantization. Object approximation leads to semantic equivalence in decompressed versus source images, producing visually acceptable but numerically significant pixel-level distortion [1,3].
Citation:
Mark S. Schmalz, "Multi-modal, Multi-Fractal Boundary Encoding in Object-Based Image Compression," dcc, pp.465, Data Compression Conference (DCC'06), 2006
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