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Image Denoising Using Wavelet Transform and CUDA

Hovhannes M. Bantikyan
State Engineering University of Armenia
Mathematical Problems of Computer Science 41, 122-130, 2014

@article{bantikyan2014image,

   title={Image Denoising Using Wavelet Transform and CUDA},

   author={Bantikyan, Hovhannes M.},

   year={2014}

}

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The discrete wavelet transform has a huge number of applications in science, engineering, mathematics and computer science. Most notably, it is used for signal coding to represent a discrete signal in a more redundant form, often as a preconditioning for data compression. Beginning in the 1990s, wavelets have been found to be a powerful tool for removing noise from a variety of signals (denoising). In this paper the implementation of DWT (Discrete Wavelet Transform)-based denoising algorithm in parallel manner on Graphics Processing Unit is presented, using the CUDA technology.
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