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Performance Evaluation of Discrete Wavelet Transform Based on Image Compression Technique on Both CPU and GPU

H.M. Magboub, M.A. Osman
Computer Engineering Department, University of Tripoli, Tripoli, Libya
International Conference on Innovations in Engineering and Technology (ICIET’2013), December 25-26, 2013, Bangkok, Thailand, 68

@article{magboubperformance,

   title={Performance Evaluation of Discrete Wavelet Transform Based on Image Compression Technique on Both CPU and GPU},

   author={Magboub, Hussein M and Osman, Mahmoud A}

}

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This paper investigates the use of the Compute Unified Device Architecture (CUDA) programming model to implement Discrete Wavelet Transform (DWT) based algorithm for efficient image compression. The PSNR (Peak Signal to Noise Ratio) is used to evaluate image reconstruction quality in this paper. The results are presented and discussed.
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