2012
DOI: 10.1155/2012/209208
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Optimized Architecture Using a Novel Subexpression Elimination on Loeffler Algorithm for DCT‐Based Image Compression

Abstract: The canonical signed digit (CSD) representation of constant coefficients is a unique signed data representation containing the fewest number of nonzero bits. Consequently, for constant multipliers, the number of additions and subtractions is minimized by CSD representation of constant coefficients. This technique is mainly used for finite impulse response (FIR) filter by reducing the number of partial products. In this paper, we use CSD with a novel common subexpression elimination (CSE) scheme on the optimal … Show more

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Cited by 12 publications
(8 citation statements)
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“…Hsu and Cheng in [ 32 ] investigated prediction algorithm to reduce the resource usage of the DCT architecture. In [ 33 ], the authors claimed least hardware resource usage with efficient power consumption. Their architecture is based on joint optimization of CSD, CSE, and quantization.…”
Section: Methodsmentioning
confidence: 99%
“…Hsu and Cheng in [ 32 ] investigated prediction algorithm to reduce the resource usage of the DCT architecture. In [ 33 ], the authors claimed least hardware resource usage with efficient power consumption. Their architecture is based on joint optimization of CSD, CSE, and quantization.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, Config4 allowed a power efficiency about 7.7 times better than what we could obtain with Config1. We finally should note that hardware performance may be enhanced when using predictive computation techniques as in [33] to predict zero quantized DCT coefficients, or also by a fine hardware optimization of arithmetic operations used in the DCT, as in [34].…”
Section: Resource Utilizationmentioning
confidence: 99%
“…Sun and Yang [2] proposed an image compression method based on a Laplace transparent composite model to achieve high coding efficiency. Jridi et al [3] presented image compression hardware to reduce computational complexity. Others have proposed to optimize image computation by digital signal processor (DSP).…”
Section: Introductionmentioning
confidence: 99%