Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction
We present a novel method for underwater image restoration, which combines a
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …
Twin adversarial contrastive learning for underwater image enhancement and beyond
Underwater images suffer from severe distortion, which degrades the accuracy of object
detection performed in an underwater environment. Existing underwater image …
detection performed in an underwater environment. Existing underwater image …
UGIF-Net: An efficient fully guided information flow network for underwater image enhancement
Light traveling through water results in strong scattering across color channels, restricting
visibility in underwater images. Many cutting-edge underwater image enhancement …
visibility in underwater images. Many cutting-edge underwater image enhancement …
HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion
Multi-exposure image fusion (MEF) targets to integrate multiple shots with different
exposures and generates a single higher dynamic image than each. Existing deep learning …
exposures and generates a single higher dynamic image than each. Existing deep learning …
Unsupervised misaligned infrared and visible image fusion via cross-modality image generation and registration
Recent learning-based image fusion methods have marked numerous progress in pre-
registered multi-modality data, but suffered serious ghosts dealing with misaligned multi …
registered multi-modality data, but suffered serious ghosts dealing with misaligned multi …
An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection
This research focuses on the discovery and localization of hidden objects in the wild and
serves unmanned systems. Through empirical analysis, infrared and visible image fusion …
serves unmanned systems. Through empirical analysis, infrared and visible image fusion …
MUFusion: A general unsupervised image fusion network based on memory unit
Existing image fusion approaches are committed to using a single deep network to solve
different image fusion problems, achieving promising performance in recent years. However …
different image fusion problems, achieving promising performance in recent years. However …
Reconet: Recurrent correction network for fast and efficient multi-modality image fusion
Recent advances in deep networks have gained great attention in infrared and visible image
fusion (IVIF). Nevertheless, most existing methods are incapable of dealing with slight …
fusion (IVIF). Nevertheless, most existing methods are incapable of dealing with slight …
From conventional approach to machine learning and deep learning approach: an experimental and comprehensive review of image fusion techniques
G Choudhary, D Sethi - Archives of Computational Methods in …, 2023 - Springer
Images captured from a single or multiple imaging sensors with considerable focus or
numerous exposures of the same or different modalities do not provide all relevant …
numerous exposures of the same or different modalities do not provide all relevant …
Coconet: Coupled contrastive learning network with multi-level feature ensemble for multi-modality image fusion
Infrared and visible image fusion targets to provide an informative image by combining
complementary information from different sensors. Existing learning-based fusion …
complementary information from different sensors. Existing learning-based fusion …