FFVRIQE: A Feature-Fused Omnidirectional Virtual Reality Image Quality Estimator-Reference-Cited by-同舟云学术

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FFVRIQE: A Feature-Fused Omnidirectional Virtual Reality Image Quality Estimator

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Poreddy Ajay Kumar Reddy¹^ORCID,Appina Balasubramanyam²^ORCID,Kokil Priyanka¹^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Advanced Signal and Image Processing (ASIP) Laboratory, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai, India

2. Department of Electrical Engineering, Multimedia Engineering and Perceptual Cognitive Analysis Group (MEPCAG), Indian Institute of Technology Indore, Indore, India

Funder

Department of Science and Technology

National Mission on Interdisciplinary Cyber-Physical Systems

Indian Institute of Technology Hyderabad

Fund for Improvement of Science and Technology Infrastructure in Universities and Higher Educational Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10542233.pdf?arnumber=10542233

Reference50 articles.

1. No-Reference Image Quality Assessment in the Spatial Domain

2. Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features

3. Perceptual quality prediction on authentically distorted images using a bag of features approach

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