Results 301 to 310 of about 13,238,104 (357)

Underwater Image Enhancement With Reinforcement Learning

IEEE Journal of Oceanic Engineering
In this article, we develop an underwater image enhancement framework based on reinforcement learning. To do this, we model the underwater image enhancement as a Markov decision process (MDP), in which states are represented by image feature maps ...
Shixin Sun, Hao Wang, Hao Zhang, Mingjie Li, Ming Xiang, Cai Luo, P. Ren   +6 more
semanticscholar   +1 more source

From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

Computer Vision and Pattern Recognition, 2020
Under-exposure introduces a series of visual degradation, i.e. decreased visibility, intensive noise, and biased color, etc. To address these problems, we propose a novel semi-supervised learning approach for low-light image enhancement. A deep recursive
Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, Jiaying Liu   +4 more
semanticscholar   +1 more source

Image detection and enhancement

Applied Optics, 1981
An optimal filtering approach is taken to the problem of detecting and enhancing a photographic image immersed in background or noise. The minimum mean square error criterion is shown to be not relevant to the optical employment of the Wiener filter.
openaire   +2 more sources

Nanoparticle Enhanced Imaging

Cancer Biomarkers, 2009
Nanotechnology refers to the research and technical development of objects in a scale range of 1 to 100 nanometers. Particles that are nano-sized are opening new research avenues in the field of engineering and life sciences. Imaging with biocompatible nanoparticles has emerged as one of the most promising new diagnostic imaging technology fulfilling ...
openaire   +3 more sources

Low-Light Image Enhancement With Semi-Decoupled Decomposition

IEEE transactions on multimedia, 2020
Low-light image enhancement is important for high-quality image display and other visual applications. However, it is a challenging task as the enhancement is expected to improve the visibility of an image while keeping its visual naturalness.
Shijie Hao, Xuyang Han, Yanrong Guo, Xin Xu, Meng Wang   +4 more
semanticscholar   +1 more source

Underwater Image Enhancement Using a Multiscale Dense Generative Adversarial Network

IEEE Journal of Oceanic Engineering, 2020
Underwater image enhancement has received much attention in underwater vision research. However, raw underwater images easily suffer from color distortion, underexposure, and fuzz caused by the underwater scene.
Ye-cai Guo, Hanyu Li, Peixian Zhuang
semanticscholar   +1 more source

Image enhancement and restoration

1975
The aim of collecting data is to gain meaningful information about a phenomenon of interest. Unfortunately, often the phenomenon is not a direct physical observable. Instead, e.g., the data at hand may be a linear superposition of the desired quantities.
openaire   +1 more source

Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

IEEE Transactions on Image Processing, 2018
Low-light image enhancement methods based on classic Retinex model attempt to manipulate the estimated illumination and to project it back to the corresponding reflectance. However, the model does not consider the noise, which inevitably exists in images
Mading Li, Jiaying Liu, Wenhan Yang, Xiaoyan Sun, Zongming Guo   +4 more
semanticscholar   +1 more source

Sexual health among adolescent and young adult cancer survivors: A scoping review from the Children's Oncology Group Adolescent and Young Adult Oncology Discipline Committee

Ca-A Cancer Journal for Clinicians, 2021
Brooke Cherven, Sharon L Bober, Kristin M Bingen   +2 more
exaly  

Low-light image enhancement based on virtual exposure

Signal processing. Image communication, 2023
Wencheng Wang, Dongliang Yan, Xiaojin Wu, Weikai He, Zhenxue Chen, Xiaohui Yuan, Lun Li   +6 more
semanticscholar   +1 more source