Wenlong Lyu

Exploring Effective Mask Sampling Modeling for Neural Image Compression

2023 · arXiv (Cornell University)

Image compression aims to reduce the information redundancy in images. Most existing neural image compression methods rely on side information from hyperprior or context models to eliminate spatial redundancy, but rarely address the channel redundancy. …