专题：Image Enhancement Techniques

This cluster of papers focuses on the advancements in image enhancement techniques, including dehazing, contrast enhancement, and color transfer. It covers a wide range of topics such as underwater imaging, single image restoration, low-light enhancement, and high dynamic range imaging. The cluster showcases the application of deep learning methods in addressing challenges related to image processing and enhancement.
最新文献
近5年高被引文献
PVT v2: Improved baselines with pyramid vision transformer

article Full Text OpenAlex 2321 FWCI155.5229

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks

conference-paper Full Text OpenAlex 2184 FWCI253.9819

SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer

article Full Text OpenAlex 1424 FWCI98.3816

Vision Transformers for Single Image Dehazing

article Full Text OpenAlex 1110 FWCI103.4987

PIAFusion: A progressive infrared and visible image fusion network based on illumination aware

article Full Text OpenAlex 1069 FWCI72.6783

Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network

article Full Text OpenAlex 1069 FWCI76.3122

Toward Fast, Flexible, and Robust Low-Light Image Enhancement

conference-paper Full Text OpenAlex 1023 FWCI80.3635

Infrared and Visible Image Fusion via Decoupling Network

article Full Text OpenAlex 969 FWCI83.2238

Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement

article Full Text OpenAlex 859 FWCI55.4283

DEA-Net: Single Image Dehazing Based on Detail-Enhanced Convolution and Content-Guided Attention

article Full Text OpenAlex 855 FWCI128.9783