A multi-scale colour and keypoint density-based approach for visual saliency detection
In the first seconds of observation of an image, several visual attention processes are
involved in the identification of the visual targets that pop-out from the scene to our eyes …
involved in the identification of the visual targets that pop-out from the scene to our eyes …
Transformation-aware similarity measurement for image retargeting quality assessment via bidirectional rewarping
Image retargeting is an effective way to adapt images for target displays with different aspect
ratios and sizes. Meanwhile, effective image retargeting quality assessment (IRQA) is …
ratios and sizes. Meanwhile, effective image retargeting quality assessment (IRQA) is …
Image retargeting quality assessment based on registration confidence measure and noticeability-based pooling
Y Niu, S Zhang, Z Wu, T Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, image retargeting approaches have been widely applied to adapt images of
various resolutions to heterogenous display devices. To assess the quality of the retargeted …
various resolutions to heterogenous display devices. To assess the quality of the retargeted …
Combining retargeting quality and depth perception measures for quality evaluation of retargeted stereopairs
Stereoscopic Image Retargeting (SIR) aims to adapt stereoscopic images and videos to 3D
display devices with various aspect ratios by emphasizing the important content while …
display devices with various aspect ratios by emphasizing the important content while …
Quality assessment of retargeted images using deep learning capabilities
To display images on panels and screens of different dimensions, there is a need to create
algorithms that help adjust them to desired sizes through image retargeting (IR). In this …
algorithms that help adjust them to desired sizes through image retargeting (IR). In this …
Subjective and objective quality assessment for stereoscopic image retargeting
Binocular stereoscopic image retargeting (SIR) aims to adjust 3D images into target aspect
ratios. In recent years, various SIR methods have been proposed, but there are few …
ratios. In recent years, various SIR methods have been proposed, but there are few …
Integration of deep learned and handcrafted features for image retargeting quality assessment
This paper proposed an image retargeting quality assessment. In the proposed method, a
deep convolution network is trained on the pixel displacement patterns of different image …
deep convolution network is trained on the pixel displacement patterns of different image …
A content-aware image retargeting quality assessment method using foreground and global measurement
Y Li, L Guo, L Jin - IEEE Access, 2019 - ieeexplore.ieee.org
Image retargeting methods aim to minimize the perceptual loss while changing sizes and
aspect ratios of images. Since optimal retargeting methods for different images are generally …
aspect ratios of images. Since optimal retargeting methods for different images are generally …
Image retargeting quality assessment: A survey
With the increasing variety of display devices, image retargeting has become an
indispensable technology for adjusting the aspect ratio of images to adapt to different …
indispensable technology for adjusting the aspect ratio of images to adapt to different …
考虑结构一致性和内容完整性的重定向图像质量评价.
陈楠， 蔡柏亲， 杨恭宁， 陈炜玲… - Journal of Fuzhou …, 2023 - search.ebscohost.com
针对适应不同宽高比显示设备全屏显示的重定向图像的视觉质量问题, 提出一种基于像素级结构
一致性和内容完整性的重定向图像质量评价模型. 该模型首先使用后向配准 …
一致性和内容完整性的重定向图像质量评价模型. 该模型首先使用后向配准 …