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VSOIQE: A novel viewport-based stitched 360° omnidirectional image quality evaluator
With the rapid development of virtual reality (VR), 360° omnidirectional images and videos
have drawn wide attention. However, the quality assessment of 360° omnidirectional images …
have drawn wide attention. However, the quality assessment of 360° omnidirectional images …
Monocular and binocular interactions oriented deformable convolutional networks for blind quality assessment of stereoscopic omnidirectional images
Stereoscopic omnidirectional content, as a novel visual media, has drawn wide attention in
recent years due to its ability in providing strong immersive experience. Since Stereoscopic …
recent years due to its ability in providing strong immersive experience. Since Stereoscopic …
Local visual and global deep features based blind stitched panoramic image quality evaluation using ensemble learning
Y Cui, G Jiang, M Yu, Y Song - IEEE Transactions on Emerging …, 2022 - ieeexplore.ieee.org
Image stitching technology aims to generate a Stitched Panoramic Image (SPI) by stitching
multiple narrow-view images containing over-lap** regions. However, heterogeneous …
multiple narrow-view images containing over-lap** regions. However, heterogeneous …
Viewport-sphere-branch network for blind quality assessment of stitched 360 omnidirectional images
Compared with conventional images/videos, omnidirectional data records rich information
with higher resolution and wider Field-of-View. Moreover, the stitching distortions introduced …
with higher resolution and wider Field-of-View. Moreover, the stitching distortions introduced …
Quality assessment for stitched panoramic images via patch registration and bidimensional feature aggregation
Y Zhou, W Gong, Y Sun, L Li, K Gu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Quality assessment for stitched panoramic images (SPIQA) is of great significance for the
stitching algorithm optimization. By contrast, this task is much more challenging and arduous …
stitching algorithm optimization. By contrast, this task is much more challenging and arduous …
Spatio-temporal feature integration for quality assessment of stitched omnidirectional images
Stitched omnidirectional images are created by capturing overlap** images and
seamlessly merging them together. When observing stitched omnidirectional images, users …
seamlessly merging them together. When observing stitched omnidirectional images, users …
Perceptual quality assessment of panoramic stitched contents for immersive applications: a prospective survey
The recent advancements in the field of Virtual Reality (VR) and Augmented Reality (AR)
have a substantial impact on modern day technology by digitizing each and everything …
have a substantial impact on modern day technology by digitizing each and everything …
Stitched image quality assessment based on local measurement errors and global statistical properties
Image stitching is developed to generate wide-field images or panoramic images for virtual
reality applications. However, the quality assessment of stitched images with respect to …
reality applications. However, the quality assessment of stitched images with respect to …
Visual security index of selective encrypted images based on multi-directional structure and content-aware features
Z Gan, Y Zhang, Z Huang, X Chai… - Journal of Electronic …, 2023 - spiedigitallibrary.org
Selective encryption algorithms have emerged as a popular technique for protecting the
privacy of images during real-time transmission. For selectively encrypted images, it is …
privacy of images during real-time transmission. For selectively encrypted images, it is …
[HTML][HTML] Improved combined metric for automatic quality assessment of stitched images
K Okarma, M Kopytek - Applied Sciences, 2022 - mdpi.com
An automatic quality assessment of stitched images is an essential task in image analysis
and is particularly useful not only in the creation of general-purpose panoramic images but …
and is particularly useful not only in the creation of general-purpose panoramic images but …