4 papers
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…
CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model
Datao Tang, Xiangyong Cao, Xingsong Hou +3
The emergence of generative models has revolutionized the field of remote sensing (RS) image generation. Despite generating high-quality images, existing methods are limited in rel…
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…
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…