Comparison of full-reference image quality models for optimization of image processing systems
The performance of objective image quality assessment (IQA) models has been evaluated
primarily by comparing model predictions to human quality judgments. Perceptual datasets …
primarily by comparing model predictions to human quality judgments. Perceptual datasets …
A comprehensive performance evaluation of image quality assessment algorithms
Image quality assessment (IQA) algorithms aim to predict perceived image quality by human
observers. Over the last two decades, a large amount of work has been carried out in the …
observers. Over the last two decades, a large amount of work has been carried out in the …
Contrast enhancement using feature-preserving bi-histogram equalization
X Wang, L Chen - Signal, Image and Video Processing, 2018 - Springer
A new contrast enhancement algorithm is proposed, which is based on the fact that, for
conventional histogram equalization, a uniform input histogram produces an equalized …
conventional histogram equalization, a uniform input histogram produces an equalized …
Full-reference quality metric based on neural network to assess the visual quality of remote sensing images
Remote sensing images are subject to different types of degradations. The visual quality of
such images is important because their visual inspection and analysis are still widely used …
such images is important because their visual inspection and analysis are still widely used …
Combined full-reference image quality metrics for objective assessment of multiply distorted images
In the recent years, many objective image quality assessment methods have been proposed
by different researchers, leading to a significant increase in their correlation with subjective …
by different researchers, leading to a significant increase in their correlation with subjective …
A high-definition diversity-scene database for image quality assessment
In this paper, we focus on the creation of general purpose 2-D image quality databases.
Although there are many of them, they still lack some important characteristics, such as high …
Although there are many of them, they still lack some important characteristics, such as high …
Quality assessment tool for performance measurement of image contrast enhancement methods
An objective image quality assessment tool is proposed to measure image enhancement
quality with emphasis on contrast. In the proposed tool, which is based on maximizing …
quality with emphasis on contrast. In the proposed tool, which is based on maximizing …
Image contrast enhancement with brightness preservation using an optimal gamma and logarithmic approach
N Singh, AK Bhandari - IET Image Processing, 2020 - Wiley Online Library
In this study, a new enhancement framework is proposed for low contrast and dark images
where traditional histogram equalisation (HE), gamma and logarithmic transformation are …
where traditional histogram equalisation (HE), gamma and logarithmic transformation are …
Quality assessment of 3d printed surfaces using combined metrics based on mutual structural similarity approach correlated with subjective aesthetic evaluation
Quality assessment of the 3D printed surfaces is one of the crucial issues related to fast
prototyping and manufacturing of individual parts and objects using the fused deposition …
prototyping and manufacturing of individual parts and objects using the fused deposition …
Contrast and visual saliency similarity-induced index for assessing image quality
H Jia, L Zhang, T Wang - Ieee Access, 2018 - ieeexplore.ieee.org
Image quality that is consistent with human opinion is assessed by a perceptual image
quality assessment (IQA) that defines/utilizes a computational model. A good model should …
quality assessment (IQA) that defines/utilizes a computational model. A good model should …