Quality assessment of DIBR-synthesized views: An overview

S Tian, L Zhang, W Zou, X Li, T Su, L Morin, O Deforges - Neurocomputing, 2021 - Elsevier
Abstract The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental
technique to generate new views in 3D video applications, such as Multi-View Videos …

Stretching artifacts identification for quality assessment of 3D-synthesized views

V Jakhetiya, D Mumtaz, BN Subudhi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Existing Quality Assessment (QA) algorithms consider identifying “black-holes” to assess
perceptual quality of 3D-synthesized views. However, advancements in rendering and …

Blind image quality assessment based on multi-scale KLT

C Yang, X Zhang, P An, L Shen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blind image quality assessment (BIQA) plays an important role in image services as
independent of the reference image. Herein, the perceptual relevant feature design is the …

Synthesized view quality assessment using feature matching and superpixel difference

S Mahmoudpour, P Schelkens - IEEE Signal Processing Letters, 2020 - ieeexplore.ieee.org
Depth Image-Based Rendering (DIBR) is the key technique in many multi-view 3D
applications to synthesize virtual views using texture and depth information. However, DIBR …

Non-Subsampled Contourlet Transform and Ground-truth Score Generation based Quality Assessment for DIBR-Synthesized Views

D Mumtaz, V Jakhetiya, BN Subudhi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, there have been advancements in developing Depth-Image-Based
Rendering (DIBR) views. However, the quality of these synthesized views is often degraded …

No-reference quality assessment for depth image based rendering-synthesized images based on multi-feature fusion

L Wang, F Chen, Q Lai, M Nie… - Journal of Electronic …, 2023 - spiedigitallibrary.org
The depth image based rendering (DIBR) technique plays a crucial role in free viewpoint
video. However, the DIBR technology is not yet mature and still needs to be improved. In …

Blind Image Quality Assessment Using Standardized NSS and Multi-pooled CNN

NC Lynn, Y Sugiura, T Shimamura - International Conference on Genetic …, 2023 - Springer
This paper proposes a blind image quality assessment (BIQA) method that combines the
natural scene statistics (NSS) based feature extraction and the multi-pooled image feature …

Quality of Experience Assessment for Free-viewpoint Video

R Jia, Y Zhang, J Xu, W Zhang, L Song… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The evaluation of free-viewpoint video (FVV) quality is essential for improving the quality of
experience (QoE). Prior deep video quality assessment (VQA) approaches for FVV typically …

[PDF][PDF] Human Perception Based Multimedia Quality Assessment

D Mumtaz - 2023 - idr.iitjammu.ac.in
Multimedia plays a crucial role in today's digital age due to its versatility and effectiveness in
conveying information, entertainment, and communication. Multimedia enriches learning …

A STUDY OF THE EFFICIENCY OF DEEP CONVOLUTIONAL NEURAL NETWORKS FOR PICTURE QUALITY PREDICTION

M Ayyavaraiah - Journal of Data Acquisition and Processing, 2024 - sjciycl.cn
Since the advent of smart phones, the act of capturing images has become ingrained in
human behavior, evolving into an integral aspect of daily life. The human perception of …