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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
Computer-aided diagnosis in breast magnetic resonance imaging.
Gautam S. Muralidhar,Alan C. Bovik,Mehul P. Sampat,Gary J. Whitman,Tamara Miner Haygood,Tanya W. Stephens,Mia K. Markey,Mia K. Markey +7 more
TL;DR: The role played by breast magnetic resonance imaging in the detection and diagnosis of breast cancer is reviewed, followed by a discussion of clinical decision support systems in medicine and their contributions in breast Magnetic resonance imaging interpretation.
Journal ArticleDOI
Perceptually optimized blind repair of natural images
TL;DR: The proposed framework – the GEneral-purpose No-reference Image Improver (GENII) – enables the design of algorithms that are blind to distortion type as well as to distortion parameters, and only requires as input the distorted image to be repaired.
Proceedings ArticleDOI
Nonlinear filtering using linear combinations of order statistics
TL;DR: A nonlinear filter whose output is given by a linear combination of the order statistics of the input sequence, where the coefficients in the linear combination are chosen to minimize the output MSE for several noise distributions.
Proceedings ArticleDOI
Demodulation of images modeled by amplitude-frequency modulations using multidimensional energy separation
Petros Maragos,Alan C. Bovik +1 more
TL;DR: This paper forms an image demodulation problem, and presents a solution based on the multidimensional energy operator /spl Phi/(f)=/spl par//spl nabla/f/Spl par//sup 2/-f/ spl nabla//Sup 2/f to estimate the amplitude envelope and instantaneous frequencies of 2D spatially-varying AM-FM signals.
Journal ArticleDOI
Active, Foveated, Uncalibrated Stereovision
TL;DR: This paper provides a set of sampling theorems that offer a path for designing foveation strategies that are optimal with respect to average epipolar area.