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 Ankur Saxena and Vinay Melkote and Kenneth Rose},
  journal={IEEE Transactions on Image Processing},
  year={2012},
  volume={21},
  pages={1874-1884}
}

• Jingning Han, Ankur Saxena, +1 author Kenneth Rose
• Published 2012 in IEEE Transactions on Image Processing
• DOI:10.1109/TIP.2011.2169976

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

Save

Create Alert

Cite

View on IEEE