Toward a no-reference quality metric for camera-captured images
Existing no-reference (NR) image quality assessment (IQA) metrics are still not convincing
for evaluating the quality of the camera-captured images. Toward tackling this issue, we, in …
for evaluating the quality of the camera-captured images. Toward tackling this issue, we, in …
Remember and reuse: Cross-task blind image quality assessment via relevance-aware incremental learning
Existing blind image quality assessment (BIQA) methods have made great progress in
various task-specific applications, including the synthetic, authentic, or over-enhanced …
various task-specific applications, including the synthetic, authentic, or over-enhanced …
Quality assessment of compressed and resized medical images based on pattern recognition using a convolutional neural network
I Urbaniak, M Wolter - … in Nonlinear Science and Numerical Simulation, 2021 - Elsevier
Given the explosive growth of the amount of medical image data being produced and
transferred over networks every day, employing lossy compression and other irreversible …
transferred over networks every day, employing lossy compression and other irreversible …
No-reference physics-based quality assessment of polarization images and its application to demosaicking
Assessing the quality of polarization images is of significance for recovering reliable
polarization information. Widely used quality assessment methods including peak signal-to …
polarization information. Widely used quality assessment methods including peak signal-to …
A strong baseline for image and video quality assessment
S Wen, J Wang - arXiv preprint arXiv:2111.07104, 2021 - arxiv.org
In this work, we present a simple yet effective unified model for perceptual quality
assessment of image and video. In contrast to existing models which usually consist of …
assessment of image and video. In contrast to existing models which usually consist of …
No-reference image quality assessment with multi-scale orderless pooling of deep features
D Varga - Journal of Imaging, 2021 - mdpi.com
The goal of no-reference image quality assessment (NR-IQA) is to evaluate their perceptual
quality of digital images without using the distortion-free, pristine counterparts. NR-IQA is an …
quality of digital images without using the distortion-free, pristine counterparts. NR-IQA is an …
Visual perceptual quality assessment based on blind machine learning techniques
G Takam Tchendjou, E Simeu - Sensors, 2021 - mdpi.com
This paper presents the construction of a new objective method for estimation of visual
perceiving quality. The proposal provides an assessment of image quality without the need …
perceiving quality. The proposal provides an assessment of image quality without the need …
No-reference image quality assessment based on multi-scale convolutional neural network assisted with visual saliency
H Wang, M Lil, L Chen - 2021 International Joint Conference …, 2021 - ieeexplore.ieee.org
Nowadays, methods based on deep learning have achieved state-of-the-art performance in
image quality assessment (IQA). Many efforts have been made to design convolutional …
image quality assessment (IQA). Many efforts have been made to design convolutional …
A no-reference 3D virtual reality image quality assessment algorithm based on saliency statistics
AKR Poreddy, PA Kara, B Appina… - Optics and Photonics …, 2021 - spiedigitallibrary.org
In this work, we propose a supervised no-reference (NR) Image Quality Assessment (IQA)
model for the objective evaluation of the perceptual quality of 3D virtual reality (VR) images …
model for the objective evaluation of the perceptual quality of 3D virtual reality (VR) images …
No-Reference Image Quality Assessment Based on Image Naturalness and Semantics
Automatically providing feedback about the quality of natural images could be of great
interest for image-driven applications. Toward this goal, this paper proposes a novel no …
interest for image-driven applications. Toward this goal, this paper proposes a novel no …