Contrastive semi-supervised learning for underwater image restoration via reliable bank
Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …
lack of labeled data has become a major hurdle for further progress. In this work, we …
Fourmer: An efficient global modeling paradigm for image restoration
Global modeling-based image restoration frameworks have become popular. However, they
often require a high memory footprint and do not consider task-specific degradation. Our …
often require a high memory footprint and do not consider task-specific degradation. Our …
Enhancing visibility in nighttime haze images using guided apsf and gradient adaptive convolution
Visibility in hazy nighttime scenes is frequently reduced by multiple factors, including low
light, intense glow, light scattering, and the presence of multicolored light sources. Existing …
light, intense glow, light scattering, and the presence of multicolored light sources. Existing …
HCLR-net: Hybrid contrastive learning regularization with locally randomized perturbation for underwater image enhancement
Underwater image enhancement presents a significant challenge due to the complex and
diverse underwater environments that result in severe degradation phenomena such as light …
diverse underwater environments that result in severe degradation phenomena such as light …
[HTML][HTML] Underwater Optical Imaging: Methods, Applications and Perspectives
Y Hao, Y Yuan, H Zhang, Z Zhang - Remote Sensing, 2024 - mdpi.com
Underwater optical imaging is essential for exploring the underwater environment to provide
information for planning and regulating underwater activities in various underwater …
information for planning and regulating underwater activities in various underwater …
UIEDP: Boosting underwater image enhancement with diffusion prior
Underwater image enhancement (UIE) aims to generate clear images from low-quality
underwater images. Due to the unavailability of clear reference images, researchers often …
underwater images. Due to the unavailability of clear reference images, researchers often …
UID2021: An underwater image dataset for evaluation of no-reference quality assessment metrics
G Hou, Y Li, H Yang, K Li, Z Pan - ACM Transactions on Multimedia …, 2023 - dl.acm.org
Achieving subjective and objective quality assessment of underwater images is of high
significance in underwater visual perception and image/video processing. However, the …
significance in underwater visual perception and image/video processing. However, the …
Five A Network: You Only Need 9K Parameters for Underwater Image Enhancement
A lightweight underwater image enhancement network is of great significance for resource-
constrained platforms, but balancing model size, computational efficiency, and …
constrained platforms, but balancing model size, computational efficiency, and …
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 …
Promptiqa: Boosting the performance and generalization for no-reference image quality assessment via prompts
Due to the diversity of assessment requirements in various application scenarios for the IQA
task, existing IQA methods struggle to directly adapt to these varied requirements after …
task, existing IQA methods struggle to directly adapt to these varied requirements after …