A comprehensive review on content-aware image retargeting: From classical to state-of-the-art methods
Abstract Content-Aware Image Retargeting (CAIR) techniques are important in multimedia
applications for displaying images on various display devices. This paper first provides a …
applications for displaying images on various display devices. This paper first provides a …
Multiscale multilevel context and multimodal fusion for RGB-D salient object detection
Red–green–blue and depth (RGB-D) saliency detection has recently attracted much
research attention; however, the effective use of depth information remains challenging. This …
research attention; however, the effective use of depth information remains challenging. This …
HVS-based perception-driven no-reference omnidirectional image quality assessment
Y Liu, X Yin, Y Wang, Z Yin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Evaluating the quality of panoramic images has gradually become a hot research topic with
the development of virtual reality (VR) technology. Therefore, a novel method is proposed to …
the development of virtual reality (VR) technology. Therefore, a novel method is proposed to …
DeepRPN-BIQA: Deep architectures with region proposal network for natural-scene and screen-content blind image quality assessment
With the emerging use of technology and screen-oriented applications in our daily life,
screen content images have gained the same importance as natural scene images. This …
screen content images have gained the same importance as natural scene images. This …
Semi-reference sonar image quality assessment based on task and visual perception
In submarine and underwater detection tasks, conventional optical imaging and analysis
methods are not universally applicable due to the limited penetration depth of visible light …
methods are not universally applicable due to the limited penetration depth of visible light …
Blind stereoscopic 3D image quality assessment via analysis of naturalness, structure, and binocular asymmetry
Over recent years, stereoscopic three dimensional (S3D) images have grown explosively
and received increasing attention. Quality assessment, as the fundamental problem, plays …
and received increasing attention. Quality assessment, as the fundamental problem, plays …
Image quality assessment based on three features fusion in three fusion steps
C Shi, Y Lin - Symmetry, 2022 - mdpi.com
The objective image quality assessment (IQA) method was developed to replace subjective
observer image quality evaluations in various applications. A reliable full reference color IQA …
observer image quality evaluations in various applications. A reliable full reference color IQA …
Blind omnidirectional image quality assessment with representative features and viewport oriented statistical features
Y Liu, X Yin, G Yue, Z Zheng, J Jiang, Q He… - Journal of Visual …, 2023 - Elsevier
With the development of information technologies, various types of streaming images are
generated, such as videos, graphics, Virtual Reality (VR)/omnidirectional images (OIs), etc …
generated, such as videos, graphics, Virtual Reality (VR)/omnidirectional images (OIs), etc …
Image quality assessment using kernel sparse coding
One key in image quality assessment (IQA) is the design of image representations that can
capture the changes of image structures caused by distortions. Recent studies show that …
capture the changes of image structures caused by distortions. Recent studies show that …
Deep belief network for solving the image quality assessment in full reference and no reference model
D Muthusamy, S Sathyamoorthy - Neural Computing and Applications, 2022 - Springer
Abstract Image Quality Assessment (IQA) is one of the essential problems in image
processing. The growth of natural image quality assessment methods has collected a large …
processing. The growth of natural image quality assessment methods has collected a large …