Deep perceptual image enhancement network for exposure restoration

K Panetta, SK KM, SP Rao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Image restoration techniques process degraded images to highlight obscure details or
enhance the scene with good contrast and vivid color for the best possible visibility. Poor …

An image contrast enhancement algorithm using PLIP-based histogram modification

Z Zhao, Y Zhou - 2017 3rd IEEE International Conference on …, 2017 - ieeexplore.ieee.org
Contrast enhancement is an important tool for producing informative and visually pleasing
images. However, conventional image contrast enhancement methods often sufferfrom the …

A critical analysis on perceptual contrast and its use in visual information analysis and processing

A Beghdadi, MA Qureshi, SA Amirshahi… - IEEE …, 2020 - ieeexplore.ieee.org
Contrast in visible images is one of the most relevant characteristics of visual signals. Since
the pioneering works performed in vision psychology and optics, different definitions have …

Multiscale contrast similarity deviation: An effective and efficient index for perceptual image quality assessment

T Wang, L Zhang, H Jia, B Li, H Shu - Signal Processing: Image …, 2016 - Elsevier
Perceptual image quality assessment (IQA) uses a computational model to assess the
image quality in a fashion consistent with human opinions. A good IQA model should …

Underwater image quality assessment from synthetic to real-world: Dataset and objective method

X Li, H Xu, G Jiang, M Yu, T Luo, X Zhang… - ACM Transactions on …, 2023 - dl.acm.org
The complicated underwater environment and lighting conditions lead to severe influence
on the quality of underwater imaging, which tends to impair underwater exploration and …

Mammogram enhancement using intuitionistic fuzzy sets

H Deng, W Deng, X Sun, M Liu, C Ye… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Objective: Conventional mammogram enhancement methods use transform-domain
filtering, which possibly produce some artifacts or not well highlight all local details in …

Multi-exposure optimized contrast and brightness balance color image enhancement

AK Bhandari, B Subramani, M Veluchamy - Digital Signal Processing, 2022 - Elsevier
Color image enhancement has been very challenging for researchers in imaging systems. In
this paper, optimal weighted multi-exposure histogram equalization model is proposed for …

Medical image enhancement method based on the fractional order derivative and the directional derivative

J Guan, J Ou, Z Lai, Y Lai - International Journal of Pattern …, 2018 - World Scientific
In recent years, the fractional order derivative has been introduced for image enhancement.
It was proved that the medical image enhancement method based on the fractional order …

Unsupervised multiple representation disentanglement framework for improved underwater visual perception

P Zhu, Y Liu, M Xu, X Fu, N Wang… - IEEE Journal of Oceanic …, 2023 - ieeexplore.ieee.org
Visual perception is a key component for many underwater applications. However, visual
imaging data typically suffer from different types of distortion, which seriously affect their …

The symmetric logarithmic image processing model

L Navarro, G Deng, G Courbebaisse - Digital Signal Processing, 2013 - Elsevier
In this paper, a new extension of logarithmic image processing (LIP) model, called
Symmetric Logarithmic Image Processing (SLIP), is proposed. Inspired by the previously …