Latest Research in Image Enhancement Techniques

Top Research Topics in Image Enhancement Techniques

• Computer Vision and Pattern Recognition — 8 papers
• Image Enhancement Techniques — 5 papers
• Advanced Image Processing Techniques — 5 papers
• Image and Video Processing — 2 papers
• Remote-Sensing Image Classification — 1 papers

Highest-Cited Papers

1. Robust image dehazing based on low-rank and sparse decomposition of the degree of polarization
2. Visual Autoregressive Priors for RAW-to-sRGB Image Signal Processing
3. A latent diffusion framework for spatiotemporal enhancement of geostationary satellite imagery
4. Adaptive Plug-and-Play Image Restoration for Diffractive Remote Sensing with a Latent Diffusion Prior
5. HFCNet: A hybrid CNN-transformer network with frequency-aware gating and cross-stream interaction for low-light image enhancement
6. Recurrent Dynamic Range Extension
7. AstraMoE-SR: Trajectory-Guided Diffusion for Blind Satellite Jitter Deblurring and Super-Resolution
8. Physics-Preserving Attention-Guided Artifact Removal for Spaceborne Optical Images
9. Bio-Inspired Low-Light Image Enhancement with Large Kernel Convolution and Attention
10. Benchmarking RAW and RGB Restoration in Image Signal Processors
11. Efficient All-in-One Weather Restoration using Spectral Harmonization
12. Fully Quantized Training vs. Post-Training Quantization for a Small Hyperspectral Transformer Model for Pixel-Level Foreign Plastic Object Classification
13. InfScene-SR: Seamless Super-Resolution of Arbitrarily Large Remote-Sensing Scenes via Variance-Preserving Joint Denoising
14. Di$^2$CycleSB: Towards High-Quality Unsupervised Nighttime Visibility Enhancement via Schrödinger Bridge Transformer
15. DARD: Zero-Shot Degradation-Aware Retinex-Guided Diffusion for Low-Light Image Enhancement
16. Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image Inpainting
17. DAV‐Diff: A Diffusion Model for High‐Quality Remote Sensing Image Reconstruction Based on Multi‐Level Attention and v‐Prediction
18. Self-attention augmented blind super-resolution with advanced Sobel loss for remote sensing images
19. Multi-exposure HDR Imaging: A Review of Pixel-level and Feature-level Reconstruction Methods
20. P-PatchDiff: Progressive Patch Diffusion Models for Low-Light Image Enhancement