• DOI:10.1109/TIP.2011.2169976
Corpus ID: 9507669

Jointly Optimized Spatial Prediction and Block Transform for Video and Image Coding

@article{Han2012JointlyOS,
  title={Jointly Optimized Spatial Prediction and Block Transform for Video and Image Coding},
  author={Jingning Han and A. Saxena and Vinay Melkote and K. Rose},
  journal={IEEE Transactions on Image Processing},
  year={2012},
  volume={21},
  pages={1874-1884}
}

Jingning Han, A. Saxena, +1 author K. Rose

Published 2012

Mathematics, Computer Science, Medicine

IEEE Transactions on Image Processing

This paper proposes a novel approach to jointly optimize spatial prediction and the choice of the subsequent transform in video and image compression. Under the assumption of a separable first-order Gauss-Markov model for the image signal, it is shown that the optimal Karhunen-Loeve Transform, given available partial boundary information, is well approximated by a close relative of the discrete sine transform (DST), with basis vectors that tend to vanish at the known boundary and maximize… CONTINUE READING

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