Enhancement of CNN-based Probability Modeling by Locally Trained Adaptive Prediction for Efficient Lossless Image Coding
Author:
Affiliation:
1. Tokyo University of Science 2641 Yamazaki, Noda-shi,Faculty of Science and Technology,Chiba,JAPAN,278-8510
2. Sophia University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10017992/10017993/10018003.pdf?arnumber=10018003
Reference22 articles.
1. Lossless Image Coding Exploiting Local and Non-local Information via Probability Model Optimization
2. Probability model adjustment for the CNN-based lossless image coding method
3. Conditional Image Generation with PixelCNN Decoders;oord;Proc 30th International Conference on Neural Information Processing Systems (NIPS 2016),2016
4. PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications,2022
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