Precision vs. error in JPEG compression

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Abstract
By mapping computations directly onto hardware, reconfigurable machines promise a tremendous speed-up over traditional computers. However, executing floating-point operations directly in hardware is a waste of resources. Variable precision fixed-point arithmetic operations can save gates and reduce clock cycle times. This paper investigates the relation between precision and error for image compression/decompression. More precisely, this paper investigates the relationship between error and bit- precision for the Discrete Cosine Transform and JPEG.

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