Least squares based optimal switched predictors for lossless compression of images

@article{Tiwari2008LeastSB,
  title={Least squares based optimal switched predictors for lossless compression of images},
  author={Anil Kumar Tiwari and Ratnam V. Raja Kumar},
  journal={2008 IEEE International Conference on Multimedia and Expo},
  year={2008},
  pages={1129-1132}
}
Gradient adjusted predictor (GAP), used in CALIC, consists of seven slope bins and one predictor each is associated with these bins. As the relationship between the predicted pixels and their contexts are complex, these predictors may not be appropriate for prediction of the pixels belonging to the respective slope bins. In this work, we present the least-squares (LS) based approach to find optimal predictors for pixels belonging to various slope bins of GAP. Our simulation results show that… CONTINUE READING

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