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Alan C. Bovik
Researcher at University of Texas at Austin
Publications - 872
Citations - 120104
Alan C. Bovik is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Image quality & Video quality. The author has an hindex of 102, co-authored 837 publications receiving 96088 citations. Previous affiliations of Alan C. Bovik include University of Illinois at Urbana–Champaign & University of Sydney.
Papers
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Journal ArticleDOI
A Hitchhiker’s Guide to Structural Similarity
TL;DR: 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 algorithms, encoding recipes and numerous other image processing algorithms as mentioned in this paper.
Journal ArticleDOI
In‐vivo analysis of angiogenesis and revascularization of transplanted pancreatic islets using confocal microscopy
TL;DR: In‐vivo imaging of the microcirculation of transplanted pancreatic islets was conducted using a confocal scanning laser microscope (CSLM) to achieve optical sectioning through the graft in order to perform a computer reconstruction of the three‐dimensional neovascular morphology.
Journal ArticleDOI
Learning a River Network Extractor Using an Adaptive Loss Function
TL;DR: A deep-learning-based river network extraction model that learns the characteristics of rivers from synthetic data and generalizes them to natural data, and produces maps of river centerlines, which have the potential to be quite useful for analyzing the properties of river networks.
Patent
Determining quality of an image or video using a distortion classifier
Alan C. Bovik,Anush K. Moorthy +1 more
TL;DR: In this paper, techniques and structures are disclosed in which one or more distortion categories are identified for an image or video, and a quality of the image and video is determined based on the one or multiple distortion categories.
Proceedings ArticleDOI
A high quality, fast inverse halftoning algorithm for error diffused halftones
TL;DR: In this article, an inverse halftoning algorithm for error diffused halftones is presented, which applies a separable 7/spl times/7 FIR filter parameterized by the computed local horizontal and vertical gradients.