Perceptual image quality assessment: a survey
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …
to the existence of quality degradations introduced in various stages of visual signal …
Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical …
R Al Sobbahi, J Tekli - Signal Processing: Image Communication, 2022 - Elsevier
Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …
improving the illumination of images taken under low-light conditions. Recently, a …
NIMA: Neural image assessment
H Talebi, P Milanfar - IEEE transactions on image processing, 2018 - ieeexplore.ieee.org
Automatically learned quality assessment for images has recently become a hot topic due to
its usefulness in a wide variety of applications, such as evaluating image capture pipelines …
its usefulness in a wide variety of applications, such as evaluating image capture pipelines …
A bio-inspired multi-exposure fusion framework for low-light image enhancement
Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. Although many image enhancement techniques have been …
due to their low visibility. Although many image enhancement techniques have been …
Learning a no-reference quality assessment model of enhanced images with big data
In this paper, we investigate into the problem of image quality assessment (IQA) and
enhancement via machine learning. This issue has long attracted a wide range of attention …
enhancement via machine learning. This issue has long attracted a wide range of attention …
Simple low-light image enhancement based on Weber–Fechner law in logarithmic space
W Wang, Z Chen, X Yuan - Signal Processing: Image Communication, 2022 - Elsevier
In an environment with poor illumination, such as indoor, night, and overcast conditions, the
image information can be seriously lost, which affects the visual effect and degrades the …
image information can be seriously lost, which affects the visual effect and degrades the …
No-reference quality metric of contrast-distorted images based on information maximization
The general purpose of seeing a picture is to attain information as much as possible. With it,
we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) …
we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) …
Attention-guided neural networks for full-reference and no-reference audio-visual quality assessment
With the popularity of mobile Internet, audio and video (A/V) have become the main way for
people to entertain and socialize daily. However, in order to reduce the cost of media …
people to entertain and socialize daily. However, in order to reduce the cost of media …
Low-light image enhancement using variational optimization-based retinex model
S Park, S Yu, B Moon, S Ko… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents an optimization-based low-light image enhancement method using
spatially adaptive l 2-norm based Retinex model. The proposed method adaptively enforces …
spatially adaptive l 2-norm based Retinex model. The proposed method adaptively enforces …
No-reference image sharpness assessment in autoregressive parameter space
In this paper, we propose a new no-reference (NR)/blind sharpness metric in the
autoregressive (AR) parameter space. Our model is established via the analysis of AR …
autoregressive (AR) parameter space. Our model is established via the analysis of AR …