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16 December 1999 Mapping of image compression transforms to reconfigurable processors: simulation and analysis
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Abstract
This paper summarizes techniques for mapping blockwise compression transforms such as EBLAST, JPEG, Visual Pattern Image Coding, and vector quantization to reconfigurable architectures such as field-programmable gate arrays. The distinguishing feature of this study is that computational precision is varied among different operations within a given transform. For example, we found that a four-bit block sum is sufficient to compute EBLAST accurately using encoding blocks as large as 10 X 10 pixels. In contrast, image-template convolutions constituent to EBLAST compression and decompression require seven- to eight-bit fixed-point operations.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank M. Caimi, Mark S. Schmalz, and Gerhard X. Ritter "Mapping of image compression transforms to reconfigurable processors: simulation and analysis", Proc. SPIE 3814, Mathematics of Data/Image Coding, Compression, and Encryption II, (16 December 1999); https://doi.org/10.1117/12.372745
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