Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model
In this paper, we rethink the low-light image enhancement task and propose a physically
explainable and generative diffusion model for low-light image enhancement, termed as Diff …
explainable and generative diffusion model for low-light image enhancement, termed as Diff …
Empowering low-light image enhancer through customized learnable priors
Deep neural networks have achieved remarkable progress in enhancing low-light images
by improving their brightness and eliminating noise. However, most existing methods …
by improving their brightness and eliminating noise. However, most existing methods …
Advancements in low light image enhancement techniques and recent applications
PP Anoop, R Deivanathan - Journal of Visual Communication and Image …, 2024 - Elsevier
Low-light image enhancement is an effective solution for improving image recognition by
both humans and machines. Due to low illuminance, images captured in such conditions …
both humans and machines. Due to low illuminance, images captured in such conditions …
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 …
GIFM: An image restoration method with generalized image formation model for poor visible conditions
Recently, image restoration has attracted considerable attention from researchers, and
these methods generally restore degraded images based on the atmospheric scattering …
these methods generally restore degraded images based on the atmospheric scattering …
IACC: cross-illumination awareness and color correction for underwater images under mixed natural and artificial lighting
Enhancing underwater images captured under mixed artificial and natural lighting
conditions presents two critical challenges. Existing methods lack a unified luminance …
conditions presents two critical challenges. Existing methods lack a unified luminance …
Holistic dynamic frequency transformer for image fusion and exposure correction
The correction of exposure-related issues is a pivotal component in enhancing the quality of
images, offering substantial implications for various computer vision tasks. Historically, most …
images, offering substantial implications for various computer vision tasks. Historically, most …
[HTML][HTML] Exploring a radically new exponential retinex model for multi-task environments
Abstract The Retinex Theory (RT) and its adaptations have gained significant popularity in
the field of image processing. Nevertheless, traditional Retinex algorithms are generally …
the field of image processing. Nevertheless, traditional Retinex algorithms are generally …
Spatial-frequency dual-domain feature fusion network for low-light remote sensing image enhancement
Low-light remote sensing (RS) images generally feature high resolution and high spatial
complexity, with continuously distributed surface features in space. This continuity in scenes …
complexity, with continuously distributed surface features in space. This continuity in scenes …
Event-based low-illumination image enhancement
Event cameras are bio-inspired vision sensors with a high dynamic range (140 dB for event
cameras vs. 60 dB for traditional cameras) and can be used to tackle the image degradation …
cameras vs. 60 dB for traditional cameras) and can be used to tackle the image degradation …