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Development of a power efficient image coding algorithm based on integer wavelet transform

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4 Author(s)
Masselos, K. ; Dept. of Electr. & Comput. Eng., Patras Univ., Greece ; Karayiannis, Y. ; Andreopoulos, I. ; Stouraitis, T.

A novel algorithm for very high compression of grayscale images presenting features that lead to power efficient implementations is proposed. A simple methodology based on a hierarchical three stage exploration of the algorithmic design space has been adopted for the conception of the algorithm. The proposed algorithm is based on an integer wavelet transform, which is much more efficient in terms of data storage and transfer compared to the widely used real wavelet transforms. For the coding of the coefficients of the wavelet transform fractal techniques using small size computationally generated codebooks are applied. The performance of the proposed algorithm is comparable to or better than that of existing standard algorithms. It is estimated using state-of-the-art high-level power estimation techniques that the proposed algorithm achieves lower power consumption by several times compared to existing standard algorithms

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Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on  (Volume:1 )

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