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20122026
most citedGradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index

1.7k citations · 4.7k across the 98 of their papers we have counts for

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Showing 2023Show all

14 papers · 1 filter

cs.CV2023

HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessment

Shreshth Saini, Avinab Saha, Alan C. Bovik

We introduce HIDRO-VQA, a no-reference (NR) video quality assessment model designed to provide precise quality evaluations of High Dynamic Range (HDR) videos. HDR videos exhibit a…

eess.IV2023

A FUNQUE Approach to the Quality Assessment of Compressed HDR Videos

Abhinau K. Venkataramanan, Cosmin Stejerean, Ioannis Katsavounidis +1

Recent years have seen steady growth in the popularity and availability of High Dynamic Range (HDR) content, particularly videos, streamed over the internet. As a result, assessing…

eess.IV2023★ 8 cited

Bitrate Ladder Construction using Visual Information Fidelity

Krishna Srikar Durbha, Hassene Tmar, Cosmin Stejerean +2

Recently proposed perceptually optimized per-title video encoding methods provide better BD-rate savings than fixed bitrate-ladder approaches that have been employed in the past. H…

eess.IV2023

Joint Deep Image Restoration and Unsupervised Quality Assessment

Hakan Emre Gedik, Abhinau K. Venkataramanan, Alan C. Bovik

Deep learning techniques have revolutionized the fields of image restoration and image quality assessment in recent years. While image restoration methods typically utilize synthet…

eess.IV2023

Quality Modeling Under A Relaxed Natural Scene Statistics Model

Abhinau K. Venkataramanan, Alan C. Bovik

Information-theoretic image quality assessment (IQA) models such as Visual Information Fidelity (VIF) and Spatio-temporal Reduced Reference Entropic Differences (ST-RRED) have enjo…

cs.CV2023★ 4 cited

Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild

Avinab Saha, Sandeep Mishra, Alan C. Bovik

Automatic Perceptual Image Quality Assessment is a challenging problem that impacts billions of internet, and social media users daily. To advance research in this field, we propos…