Approximation and Compression With Sparse Orthonormal Transforms

@article{Sezer2015ApproximationAC,
  title={Approximation and Compression With Sparse Orthonormal Transforms},
  author={O. G. Sezer and Onur G. Guleryuz and Y. Altunbasak},
  journal={IEEE Transactions on Image Processing},
  year={2015},
  volume={24},
  pages={2328-2343}
}
  • O. G. Sezer, Onur G. Guleryuz, Y. Altunbasak
  • Published 2015
  • Computer Science, Mathematics, Medicine
  • IEEE Transactions on Image Processing
  • We propose a new transform design method that targets the generation of compression-optimized transforms for next-generation multimedia applications. The fundamental idea behind transform compression is to exploit regularity within signals such that redundancy is minimized subject to a fidelity cost. Multimedia signals, in particular images and video, are well known to contain a diverse set of localized structures, leading to many different types of regularity and to nonstationary signal… CONTINUE READING
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