Papers Compressed Image Super-resolution
“Compressed Image Super-resolution” 태그가 달린 논문 8편 · 필터 해제
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
High-resolution (HR) images are commonly downscaled to low-resolution (LR) to reduce bandwidth, followed by upscaling to restore their original details. Recent advancements in image rescaling algorithms have employed inv…
Compressed Image Super-resolutionImage ReconstructionImage RescalingImage Super-ResolutionMambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
We present MambaCSR, a simple but effective framework based on Mamba for the challenging compressed image super-resolution (CSR) task. Particularly, the scanning strategies of Mamba are crucial for effective contextual k…
Compressed Image Super-resolutionImage Super-ResolutionMambaSuper-ResolutionUCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt
Compressed Image Super-resolution (CSR) aims to simultaneously super-resolve the compressed images and tackle the challenging hybrid distortions caused by compression. However, existing works on CSR usually focuses on a …
Compressed Image Super-resolutionImage Super-ResolutionPrompt LearningSuper-ResolutionCSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution
Closed-loop negative feedback mechanism is extensively utilized in automatic control systems and brings about extraordinary dynamic and static performance. In order to further improve the reconstruction capability of cur…
Compressed Image Super-resolutionImage Super-ResolutionSSIMSuper-Resolution+1Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration
Compression plays an important role on the efficient transmission and storage of images and videos through band-limited systems such as streaming services, virtual reality or videogames. However, compression unavoidably …
Compressed Image Super-resolutionImage RestorationImage Super-ResolutionJPEG Artifact Correction+1HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
Compressed Image Super-resolution has achieved great attention in recent years, where images are degraded with compression artifacts and low-resolution artifacts. Since the complex hybrid distortions, it is hard to resto…
Compressed Image Super-resolutionImage Super-ResolutionSuper-ResolutionCISRNet: Compressed Image Super-Resolution Network
In recent years, tons of research has been conducted on Single Image Super-Resolution (SISR). However, to the best of our knowledge, few of these studies are mainly focused on compressed images. A problem such as complic…
Compressed Image Super-resolutionImage Super-ResolutionSuper-ResolutionSuper-resolving Compressed Images via Parallel and Series Integration of Artifact Reduction and Resolution Enhancement
In real-world applications, such as sharing photos on social media platforms, images are always not only sub-sampled but also heavily compressed thus often containing various artefacts. Simple methods for enhancing the r…
Compressed Image Super-resolutionImage Super-ResolutionSuper-Resolution