Approximation and Compression With Sparse Orthonormal Transforms

  title={Approximation and Compression With Sparse Orthonormal Transforms},
  author={Osman Gokhan Sezer and Onur G. Guleryuz and Y{\"u}cel Altunbasak},
  journal={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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