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Alan C. Bovik

Bio: 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
TL;DR: The authors' experiments show that for all noise variances simulated on a varied image content, their approach is almost always statistically superior to the reference BM3D implementation in terms of perceived visual quality at the 95% confidence level.
Abstract: A natural scene statistics (NSS) based blind image denoising approach is proposed, where denoising is performed without knowledge of the noise variance present in the image. We show how such a parameter estimation can be used to perform blind denoising by combining blind parameter estimation with a state-of-the-art denoising algorithm.1 Our experiments show that for all noise variances simulated on a varied image content, our approach is almost always statistically superior to the reference BM3D implementation in terms of perceived visual quality at the 95% confidence level.

17 citations

Proceedings ArticleDOI
04 Oct 1998
TL;DR: A new optimal rate control algorithm is established for maximizing the SNRC (signal-to-noise ratio in curvilinear coordinates) using the Lagrange multiplier and a target bit allocation technique for foveated video is introduced for simplified rate control over MEPG/H.263 video standards.
Abstract: Given a set of target bits, video rate control algorithms that use Lagrange multipliers have been generally known as an optimal solution for maximizing the picture quality in the uniform spatial domain. Even if the SNR (signal-to-noise) of a picture is maximized by the rate control scheme, the visual quality can be enhanced using a suitable algorithm for the human visual system. We establish a new optimal rate control algorithm for maximizing the SNRC (signal-to-noise ratio in curvilinear coordinates) using the Lagrange multiplier. In addition, a target bit allocation technique for foveated video is introduced for simplified rate control over MEPG/H.263 video standards.

17 citations

Book ChapterDOI
01 Dec 2009
TL;DR: Binary images arise in a number of ways, usually they are created from gray level images for simplified processing or for printing, however, certain types of sensors directly deliver a binary image output.
Abstract: Publisher Summary Binary images arise in a number of ways. Usually they are created from gray level images for simplified processing or for printing. However, certain types of sensors directly deliver a binary image output. Such devices are usually associated with printed, handwritten, or line drawing images, with the input signal being entered by hand on a pressure sensitive tablet, a resistive pad, or a light pen. Usually a binary image is obtained from a gray level image by some process of information abstraction. The advantage of the B-fold reduction in the required image storage space is offset by what can be a significant loss of information in the resulting binary image. However, if the process is accomplished with care, then a simple abstraction of information can be obtained that can enhance subsequent processing, analysis, or interpretation of the image.

17 citations

Journal ArticleDOI
TL;DR: An automatic digital image processing technique for simultaneous vasomotion analysis in peripheral microcirculation at multiple sites and in real time is presented.

17 citations

Proceedings ArticleDOI
04 Oct 1992
TL;DR: In this article, the statistical properties of the nonlinear energy operator Psi (s)=(ds/dt)/sup 2/-sd/sd/sup 2/dt 2/σ 2/ss 2/ts 2/s/dt/ss 3/ss 4/ts 3/ts 4/ss 5/ts 6/ts 7/ts 8/ts 9/ts 10/ts 11/ts 12/ts 13/ts 14/ts 15/ts 16/ts 17/ts 18/dt 18/ts 19/ts 20/ts 21/dt
Abstract: The statistical properties of the nonlinear energy operator Psi (s)=(ds/dt)/sup 2/-sd/sup 2//dt/sup 2/ and a related energy separation algorithm (ESA) are developed. The ESA uses Psi to demodulate noisy AM-FM signals. The performance of Psi and the ESA when applied to bandpass noisy AM-FM signals is examined. The predicted performance is found to be greatly improved if the local signal frequencies occur within the filter passband. Using this observation, a multiband energy operator and ESA approach are devised. The results suggest that greatly improved practical strategies are feasible for tracking and identifying local pattern coherencies manifested as local concentrations of signal frequencies. >

17 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Abstract: Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative complementary framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a structural similarity index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000. A MATLAB implementation of the proposed algorithm is available online at http://www.cns.nyu.edu//spl sim/lcv/ssim/.

40,609 citations

Book
01 Jan 1998
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Abstract: Introduction to a Transient World. Fourier Kingdom. Discrete Revolution. Time Meets Frequency. Frames. Wavelet Zoom. Wavelet Bases. Wavelet Packet and Local Cosine Bases. An Approximation Tour. Estimations are Approximations. Transform Coding. Appendix A: Mathematical Complements. Appendix B: Software Toolboxes.

17,693 citations

Proceedings ArticleDOI
21 Jul 2017
TL;DR: Conditional adversarial networks are investigated as a general-purpose solution to image-to-image translation problems and it is demonstrated that this approach is effective at synthesizing photos from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks.
Abstract: We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping. This makes it possible to apply the same generic approach to problems that traditionally would require very different loss formulations. We demonstrate that this approach is effective at synthesizing photos from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks. Moreover, since the release of the pix2pix software associated with this paper, hundreds of twitter users have posted their own artistic experiments using our system. As a community, we no longer hand-engineer our mapping functions, and this work suggests we can achieve reasonable results without handengineering our loss functions either.

11,958 citations

Posted Content
TL;DR: Conditional Adversarial Network (CA) as discussed by the authors is a general-purpose solution to image-to-image translation problems, which can be used to synthesize photos from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks.
Abstract: We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping. This makes it possible to apply the same generic approach to problems that traditionally would require very different loss formulations. We demonstrate that this approach is effective at synthesizing photos from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks. Indeed, since the release of the pix2pix software associated with this paper, a large number of internet users (many of them artists) have posted their own experiments with our system, further demonstrating its wide applicability and ease of adoption without the need for parameter tweaking. As a community, we no longer hand-engineer our mapping functions, and this work suggests we can achieve reasonable results without hand-engineering our loss functions either.

11,127 citations

Journal ArticleDOI
01 Apr 1988-Nature
TL;DR: In this paper, a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) is presented.
Abstract: Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

9,929 citations