• Publications
  • Influence
No-Reference Image Quality Assessment in the Spatial Domain
TLDR
We propose a natural scene statistic-based distortion-generic blind/no-reference (NR) image quality assessment (IQA) model that operates in the spatial domain. Expand
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
TLDR
We proposed a no-reference (NR)/blind image quality assessment (IQA) framework and integrated algorithm based on natural scene statistics, that assesses the quality of an image without need for a reference across a variety of distortion categories. Expand
A Two-Step Framework for Constructing Blind Image Quality Indices
TLDR
We propose a new two-step framework for no-reference image quality assessment based on natural scene statistics (NSS). Expand
Objective quality assessment of multiply distorted images
TLDR
Subjective studies have been conducted in the past to obtain human judgments of visual quality on distorted images in order, among other things, to benchmark objective image quality assessment algorithms. Expand
Subjective evaluation of stereoscopic image quality
TLDR
We present the first publicly available 3D IQA database that incorporates ‘true’ depth information along with stereoscopic pairs and human opinion scores and analyze the performance of 2D and 3D quality models using the new database. Expand
Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies
TLDR
We introduce a new video quality database that models video distortions in heavily-trafficked wireless networks and that contains measurements of human subjective impressions of the quality of videos. Expand
Blind/Referenceless Image Spatial Quality Evaluator
TLDR
We propose a natural scene statistic based Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE) which extracts the point wise statistics of local normalized luminance signals and measures image naturalness (or lack there of) based on measured deviations from a natural image model. Expand
Visual Importance Pooling for Image Quality Assessment
TLDR
We propose two strategies-visual fixation-based weighting, and quality- based weighting. Expand
C-DIIVINE: No-reference image quality assessment based on local magnitude and phase statistics of natural scenes
TLDR
We present a complex extension of the DIIVINE algorithm (called C-DIIVINE), which blindly assesses image quality based on the complex Gaussian scale mixture model corresponding to the complex version of the steerable pyramid wavelet transform. Expand
In-Capture Mobile Video Distortions: A Study of Subjective Behavior and Objective Algorithms
TLDR
We designed and created a new database that we call the LIVE-Qualcomm mobile in-capture video quality database, comprising a total of 208 videos, which model six common in- capture distortions. Expand
...
1
2
3
4
5
...