A PPO-Based Bitrate Allocation Conditional Diffusion Model for Remote Sensing Image Compression
On the map: Diffusion models → Inverse problems and image restoration
Abstract (arXiv)
Existing remote sensing image compression methods still explore to balance high compression efficiency with the preservation of fine details and task-relevant information. Meanwhile, high-resolution drone imagery offers valuable structural details for urban monitoring and disaster assessment, but large-area datasets can easily reach hundreds of gigabytes, creating significant challenges for storage and long-term management. In this paper, we propose a PPO-based bitrate allocation Conditional Diffusion Compression (PCDC) framework. PCDC integrates a conditional diffusion decoder with a PPO-based block-wise bitrate allocation strategy to achieve high compression ratios while maintaining strong perceptual performance. We also release a high-resolution drone image dataset with richer structural details at a consistent low altitude over residential neighborhoods in coastal urban areas. Experimental results show compression ratios of 19.3x on DIV2K and 21.2x on the drone image dataset. Moreover, downstream object detection experiments demonstrate that the reconstructed images preserve task-relevant information with negligible performance loss.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Inverse problems and image restoration, one of 14 directions in Diffusion models. Builds on 6 of its 18 references that are in the map. First posted on arXiv 16 Mar 2026.
Builds on
6 of 18 references.
References · 6
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2020High-Fidelity Generative Image Compressioncited by 331
- 2020Detection and Tracking Meet Drones Challengecited by 261
- 2022Lossy Image Compression with Conditional Diffusion Modelscited by 165
- 2023A Residual Diffusion Model for High Perceptual Quality Codec Augmentationcited by 33
Built on by
Not cited yet.
Similar, not cited
Close in wording, no citation either way
- 2024Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates
- 2025Object Fidelity Diffusion for Remote Sensing Image Generation
- 2026SlimDiffSR: Toward Lightweight and Efficient Remote Sensing Image Super-Resolution via Diffusion Model Distillation
- 2026Edge-Cloud Collaborative Reconstruction via Structure-Aware Latent Diffusion for Downstream Remote Sensing Perception
- 2024Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
- 2025Single-step Diffusion for Image Compression at Ultra-Low Bitrates
- 2025DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective
- 2026SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis