3 papers
eess.IV2024
Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
Junhui Li, Jutao Li, Xingsong Hou +1
Deep learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the r…
cs.CV2024
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network
Junhui Li, Xingsong Hou
Decoding remote sensing images to achieve high perceptual quality, particularly at low bitrates, remains a significant challenge. To address this problem, we propose the invertible…
cs.CV2024
Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression
Junhui Li, Xingsong Hou
Deep learning-based methods have garnered significant attention in remote sensing (RS) image compression due to their superior performance. Most of these methods focus on enhancing…