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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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Proceedings ArticleDOI
A Linear Estimator Optimized for the Structural Similarity Index and its Application to Image Denoising
TL;DR: A perceptual distortion metric-the structural similarity (SSIM) index is used to derive a new linear estimator for estimating zero-mean Gaussian sources distorted by additive white Gaussian noise (AWGN), which clearly outperforms the LLSE estimator in terms of the visual quality of the denoised images.
Journal ArticleDOI
No-Reference Sharpness Assessment of Camera-Shaken Images by Analysis of Spectral Structure
TL;DR: This work has developed a no-reference framework for automatically predicting the perceptual quality of camera-shaken images based on their spectral statistics, and demonstrates the performance of an algorithm derived from these features on new and existing databases of images distorted by camera shake.
Journal ArticleDOI
Video quality assessment accounting for temporal visual masking of local flicker
Lark Kwon Choi,Alan C. Bovik +1 more
TL;DR: A full reference VQA model that accounts for temporal visual masking of local flicker, called Flicker Sensitive-MOtion-based Video Integrity Evaluation (FS-MOVIE), augments the well-known MOVIE Index by combining motion tuned video integrity features with a new perceptual flicker visibility/masking index.
Proceedings ArticleDOI
Bband index: a no-reference banding artifact predictor
TL;DR: In this paper, a distortion-specific no-reference video quality model for predicting banding artifacts, called the Blind BANding Detector (BBAND index), was proposed.
Journal ArticleDOI
Angiogenesis in cultured and cryopreserved pancreatic islet grafts.
TL;DR: These results successfully demonstrate the potential of the described in vivo and in vitro LSCM techniques to measure the angiogenesis process in pancreatic islet grafts.