Results 31 to 40 of about 12,727,972 (298)
Improved Retinex-Theory-Based Low-Light Image Enhancement Algorithm
Applied Sciences, 2023 Researchers working on image processing have had a hard time handling low-light images due to their low contrast, noise, and brightness. This paper presents an improved method that uses the Retinex theory to enhance low-light images, with a network model
Jiarui Wang +3 more
doaj +1 more source
Low-Light Video Enhancement with Synthetic Event Guidance
, 2023 Low-light video enhancement (LLVE) is an important yet challenging task with many applications such as photographing and autonomous driving. Unlike single image low-light enhancement, most LLVE methods utilize temporal information from adjacent frames to
An, Junfeng +8 more
core +1 more source
Edge and Color Information Guided High-resolution Low-light Image Enhancement Algorithm [PDF]
Jisuanji kexueThe ability of the device to capture high-resolution images poses a new challenge to image processing,and most of the existing low-light image enhancement algorithms are designed for low-resolution images,and there are problems such as unclear details ...
ZHANG Ling, LI Zhenyu
doaj +1 more source
Convolutional Neural Network-Based Low Light Image Enhancement Method
Компьютерная оптикаWith advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
doaj +3 more sources
Low-light Image Enhancement Using the Cell Vibration Model [PDF]
, 2022 Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone to overenhancement, color distortion or time consumption, and their adaptability is fairly ...
Lei, Xiaozhou +9 more
core
Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Frontiers in Marine Science, 2022 Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie +5 more
doaj +1 more source
A Single-Stage Unsupervised Denoising Low-Illumination Enhancement Network Based on Swin-Transformer
IEEE Access, 2023 Traditional low-light enhancement methods are often based on paired datasets for training. The training data is difficult to obtain and the resulting model has poor generalization.
Qian Zhang +3 more
doaj +1 more source
Low-Light Image Enhancement with Normalizing Flow
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise reconstruction losses and deterministic processes fail to capture the complex conditional distribution of normally exposed images, which results in improper brightness ...
Yufei Wang 0006 +5 more
openaire +3 more sources
Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
doaj +1 more source
A Comprehensive Study of Object Tracking in Low-Light Environments
SensorsAccurate object tracking in low-light environments is crucial, particularly in surveillance, ethology applications, and biometric recognition systems.
Anqi Yi, Nantheera Anantrasirichai
doaj +1 more source