A survey on image enhancement for Low-light images

J Guo, J Ma, ÁF García-Fernández, Y Zhang, H Liang - Heliyon, 2023 - cell.com
In real scenes, due to the problems of low light and unsuitable views, the images often
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …

A review on image enhancement and restoration techniques for underwater optical imaging applications

N Deluxni, P Sudhakaran, MF Ndiaye - IEEe Access, 2023 - ieeexplore.ieee.org
Underwater image processing always a challenging problem in oceanic engineering
applications. Images captured in underwater are commonly suffers due to color distortion …

Low-illumination image enhancement algorithm based on improved multi-scale Retinex and ABC algorithm optimization

Y Sun, Z Zhao, D Jiang, X Tong, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …

Retinal vessel segmentation using multi-scale residual convolutional neural network (MSR-Net) combined with generative adversarial networks

MK Kar, DR Neog, MK Nath - Circuits, Systems, and Signal Processing, 2023 - Springer
Retinal fundus images provide valuable diagnostic and clinical information in the diagnosis
of ophthalmologic diseases. Retinal blood vessel analysis provides important diagnostic …

A strategic approach towards contrast enhancement by two-dimensional histogram equalization based on total variational decomposition

D Vijayalakshmi, MK Nath - Multimedia Tools and Applications, 2023 - Springer
The histogram equalization technique used for image enhancement diminishes the number
of pixel intensities resulting in loss of details and artificial impression. This paper proposes to …

A novel multilevel framework based contrast enhancement for uniform and non-uniform background images using a suitable histogram equalization

D Vijayalakshmi, MK Nath - Digital Signal Processing, 2022 - Elsevier
The histogram equalization approach, which is employed for image enhancement, reduces
the number of pixel intensities, resulting in detail loss and an unnatural impression. This …

[HTML][HTML] A systematic approach for enhancement of homogeneous background images using structural information

D Vijayalakshmi, MK Nath - Graphical Models, 2023 - Elsevier
Image enhancement is an indispensable pre-processing step for several image processing
applications. Mainly, histogram equalization is one of the widespread techniques used by …

Panoramic dental radiography image enhancement using multiscale mathematical morphology

JCM Román, VR Fretes, CG Adorno, RG Silva… - Sensors, 2021 - mdpi.com
Panoramic dental radiography is one of the most used images of the different dental
specialties. This radiography provides information about the anatomical structures of the …

[HTML][HTML] Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning

X Lekunberri, J Ruiz, I Quincoces, F Dornaika… - Ecological …, 2022 - Elsevier
Fishery monitoring programs are essential for effective management of marine resources, as
they provide scientists and managers with the necessary data for both the preparation of …

Methodology for improving deep learning-based classification for CT scan COVID-19 images

D Vijayalakshmi, P Elangovan… - … : Applications, Basis and …, 2024 - World Scientific
Early identification of COVID-19 necessitates a precise interpretation of computed
tomography (CT) chest images. Consistent and accurate photographs are critical for the …