63 citations · 65 across the 14 of their papers we have counts for
14 papers
Pixel Perfect: Relational Image Quality Assessment with Spatially-Aware Distortions
Fadeel Sher Khan, Long N. Le, Abhinau K. Venkataramanan +2
Traditional image quality assessment (IQA) methods rely on mean opinion scores (MOS), which are resource-intensive to collect and fail to provide interpretable, localized feedback…
DRIFT: Deep Restoration, ISP Fusion, and Tone-mapping
Soumendu Majee, Joshua Peter Ebenezer, Abhinau K. Venkataramanan +6
Smartphone cameras have gained immense popularity with the adoption of high-resolution and high-dynamic range imaging. As a result, high-performance camera Image Signal Processors…
GenMFSR: Generative Multi-Frame Image Restoration and Super-Resolution
Harshana Weligampola, Joshua Peter Ebenezer, Weidi Liu +4
Camera pipelines receive raw Bayer-format frames that need to be denoised, demosaiced, and often super-resolved. Multiple frames are captured to utilize natural hand tremors and en…
Cut-FUNQUE: An Objective Quality Model for Compressed Tone-Mapped High Dynamic Range Videos
Abhinau K. Venkataramanan, Cosmin Stejerean, Ioannis Katsavounidis +2
High Dynamic Range (HDR) videos have enjoyed a surge in popularity in recent years due to their ability to represent a wider range of contrast and color than Standard Dynamic Range…
Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content
Abhinau K. Venkataramanan, Cosmin Stejerean, Ioannis Katsavounidis +2
The deep learning revolution has strongly impacted low-level image processing tasks such as style/domain transfer, enhancement/restoration, and visual quality assessments. Despite…
Subjective Quality Assessment of Compressed Tone-Mapped High Dynamic Range Videos
Abhinau K. Venkataramanan, Alan C. Bovik
High Dynamic Range (HDR) videos are able to represent wider ranges of contrasts and colors than Standard Dynamic Range (SDR) videos, giving more vivid experiences. Due to this, HDR…
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…
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…
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…
Edge-Aware Image Color Appearance and Difference Modeling
Abhinau K. Venkataramanan
The perception of color is one of the most important aspects of human vision. From an evolutionary perspective, the accurate perception of color is crucial to distinguishing friend…
One Transform To Compute Them All: Efficient Fusion-Based Full-Reference Video Quality Assessment
Abhinau K. Venkataramanan, Cosmin Stejerean, Ioannis Katsavounidis +1
The Visual Multimethod Assessment Fusion (VMAF) algorithm has recently emerged as a state-of-the-art approach to video quality prediction, that now pervades the streaming and socia…
FUNQUE: Fusion of Unified Quality Evaluators
Abhinau K. Venkataramanan, Cosmin Stejerean, Alan C. Bovik
Fusion-based quality assessment has emerged as a powerful method for developing high-performance quality models from quality models that individually achieve lower performances. A…
A Hitchhiker's Guide to Structural Similarity
Abhinau K. Venkataramanan, Chengyang Wu, Alan C. Bovik +2
The Structural Similarity (SSIM) Index is a very widely used image/video quality model that continues to play an important role in the perceptual evaluation of compression algorith…
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning
Akshat Agarwal, Abhinau Kumar, Kyle Dunovan +3
In the real world, agents often have to operate in situations with incomplete information, limited sensing capabilities, and inherently stochastic environments, making individual o…