This paper proposes a secondary transform for wavelet based image compression, whose aim is to predict detail sub-bands from the corresponding low-pass sub-band so as to improve energy compaction. The ...

This paper studies features and performance of different structures for learned wavelet-like transforms in fully scalable image compression. Specifically, we explore different neural network ...