Illumination estimation for nature preserving low-light image enhancement

K Singh, AS Parihar - The Visual Computer, 2024 - Springer
In retinex model, images are considered as a combination of two components: illumination
and reflectance. However, decomposing an image into the illumination and reflectance is an …

A framework for efficient brain tumor classification using MRI images

Y Guan, M Aamir, Z Rahman, A Ali, WA Abro, ZA Dayo… - 2021 - ntnuopen.ntnu.no
A brain tumor is an abnormal growth of brain cells inside the head, which reduces the
patient's survival chance if it is not diagnosed at an earlier stage. Brain tumors vary in size …

DMT-Net: Deep multiple networks for low-light image enhancement based on retinex model

MT Duong, S Lee, MC Hong - IEEE Access, 2023 - ieeexplore.ieee.org
Images captured under low-light conditions are typically prone to undesirable visual
phenomena, particularly color distortion and additive noise, that impede the aesthetics and …

Brightness perceiving for recursive low-light image enhancement

H Wang, L Peng, Y Sun, Z Wan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the wide dynamic range in real low-light scenes, there will be large differences in the
degree of contrast degradation and detail blurring of captured images, making it difficult for …

A Review on Computational Low-Light Image Enhancement Models: Challenges, Benchmarks, and Perspectives

P Singh, AK Bhandari - Archives of Computational Methods in …, 2025 - Springer
Pre-processing techniques such as low-light image improvement have a wide variety of
practical uses. Enhancing optical acuity and the caliber of photos taken in low-light are the …

Single image dehazing using extended local dark channel prior

P Dwivedi, S Chakraborty - Image and vision computing, 2023 - Elsevier
Image dehazing is an important technique aimed at eliminating the haze in the atmosphere
to enhance the image's visual quality. There are many applications where it has been used …

[HTML][HTML] Applying deep learning image enhancement methods to improve person re-identification

OJ Santana, J Lorenzo-Navarro, D Freire-Obregón… - Neurocomputing, 2024 - Elsevier
Person re-identification has gained significant attention in recent years due to its numerous
practical applications in video surveillance. However, while artificial intelligence and deep …

Low-light image enhancement using generative adversarial networks

L Wang, L Zhao, T Zhong, C Wu - Scientific Reports, 2024 - nature.com
In low-light environments, the amount of light captured by the camera sensor is reduced,
resulting in lower image brightness. This makes it difficult to recognize or completely lose …

Enhancing low-light images via skip cross-attention fusion and multi-scale lightweight transformer

J Zhang, Z **ng, M Wu, Y Gui, B Zheng - Journal of Real-Time Image …, 2024 - Springer
Images captured in environments with poor lighting conditions often suffer from insufficient
brightness, significant noise, and color distortion, which is highly detrimental to subsequent …

Integrating graph convolution into a deep multi-layer framework for low-light image enhancement

SK Panda, PK Sa - IEEE Sensors Letters, 2024 - ieeexplore.ieee.org
Digital camera sensors may struggle to capture images in low-light environments, resulting
in lower brightness and contrast levels, color degradation, undesirable characteristics, and …