Search Results - "Bovik, A C"

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  1. 1

    Making a "Completely Blind" Image Quality Analyzer by Mittal, A., Soundararajan, R., Bovik, A. C.

    Published in IEEE signal processing letters (01-03-2013)
    “…An important aim of research on the blind image quality assessment (IQA) problem is to devise perceptual models that can predict the quality of distorted…”
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    Journal Article
  2. 2

    Embedded foveation image coding by Zhou Wang, Bovik, A.C.

    Published in IEEE transactions on image processing (01-10-2001)
    “…The human visual system (HVS) is highly space-variant in sampling, coding, processing, and understanding. The spatial resolution of the HVS is highest around…”
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    Journal Article
  3. 3

    Image quality assessment based on a degradation model by Damera-Venkata, N., Kite, T.D., Geisler, W.S., Evans, B.L., Bovik, A.C.

    Published in IEEE transactions on image processing (01-04-2000)
    “…We model a degraded image as an original image that has been subject to linear frequency distortion and additive noise injection. Since the psychovisual…”
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    Journal Article
  4. 4

    Eye movements selective for spatial frequency and orientation during active visual search by Tavassoli, A., Linde, I. van der, Bovik, A.C., Cormack, L.K.

    Published in Vision research (Oxford) (2009)
    “…Visual search can simply be defined as the task of looking for objects of interest in cluttered visual environments. Typically, the human visual system…”
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    Journal Article
  5. 5

    The reliability of measuring physical characteristics of spiculated masses on mammography by SAMPAT, M. P, WHITMAN, G. J, STEPHENS, T. W, BROEMELING, L. D, HEGER, N. A, BOVIK, A. C, MARKEY, M. K

    Published in British journal of radiology (01-12-2006)
    “…The goal of this study was to assess the reliability of measurements of the physical characteristics of spiculated masses on mammography. The images used in…”
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    Conference Proceeding Journal Article
  6. 6

    Automatic segmentation of inorganic nanoparticles in BF TEM micrographs by Groom, D.J., Yu, K., Rasouli, S., Polarinakis, J., Bovik, A.C., Ferreira, P.J.

    Published in Ultramicroscopy (01-11-2018)
    “…Transmission electron microscopy (TEM) represents a unique and powerful modality for capturing spatial features of nanoparticles, such as size and shape…”
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    Journal Article
  7. 7

    Image information and visual quality by Sheikh, H.R., Bovik, A.C.

    Published in IEEE transactions on image processing (01-02-2006)
    “…Measurement of visual quality is of fundamental importance to numerous image and video processing applications. The goal of quality assessment (QA) research is…”
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    Journal Article
  8. 8

    Modeling and quality assessment of halftoning by error diffusion by Kite, T.D., Evans, B.L., Bovik, A.C.

    Published in IEEE transactions on image processing (01-05-2000)
    “…Digital halftoning quantizes a graylevel image to one bit per pixel. Halftoning by error diffusion reduces local quantization error by filtering the…”
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    Journal Article
  9. 9

    A fast, high-quality inverse halftoning algorithm for error diffused halftones by Kite, T.D., Damera-Venkata, N., Evans, B.L., Bovik, A.C.

    Published in IEEE transactions on image processing (01-09-2000)
    “…Halftones and other binary images are difficult to process with causing several degradation. Degradation is greatly reduced if the halftone is inverse…”
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    Journal Article
  10. 10

    A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics by Jin, Y., Goodall, T., Patney, A., Webb, R., Bovik, A. C.

    “…In Virtual Reality (VR) systems, head mounted displays (HMDs) are widely used to present VR contents. When displaying immersive (360° video) scenes, greater…”
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    Conference Proceeding
  11. 11

    An information fidelity criterion for image quality assessment using natural scene statistics by Sheikh, H.R., Bovik, A.C., de Veciana, G.

    Published in IEEE transactions on image processing (01-12-2005)
    “…Measurement of visual quality is of fundamental importance to numerous image and video processing applications. The goal of quality assessment (QA) research is…”
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    Journal Article
  12. 12

    No-reference quality assessment using natural scene statistics: JPEG2000 by Sheikh, H.R., Bovik, A.C., Cormack, L.

    Published in IEEE transactions on image processing (01-11-2005)
    “…Measurement of image or video quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement, and…”
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    Journal Article
  13. 13

    Image quality assessment: from error visibility to structural similarity by Zhou Wang, Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.

    Published in IEEE transactions on image processing (01-04-2004)
    “…Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image…”
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    Journal Article
  14. 14

    Multidimensional quasi-eigenfunction approximations and multicomponent AM-FM models by Havlicek, J.P., Harding, D.S., Bovik, A.C.

    Published in IEEE transactions on image processing (01-02-2000)
    “…We develop multicomponent AM-FM models for multidimensional signals. The analysis is cast in a general n-dimensional framework where the component modulating…”
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    Journal Article
  15. 15

    A universal image quality index by Zhou Wang, Bovik, A.C.

    Published in IEEE signal processing letters (01-03-2002)
    “…We propose a new universal objective image quality index, which is easy to calculate and applicable to various image processing applications. Instead of using…”
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    Journal Article
  16. 16

    Localized measurement of emergent image frequencies by Gabor wavelets by Bovik, A.C., Gopal, N., Emmoth, T., Restrepo, A.

    Published in IEEE transactions on information theory (01-03-1992)
    “…The authors derive, implement, and demonstrate a computational approach for the measurement of emergent image frequencies. Measuring emergent signal…”
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    Journal Article
  17. 17

    On eigenstructure-based direct multichannel blind image restoration by Hung-Ta Pai, Bovik, A.C.

    Published in IEEE transactions on image processing (01-10-2001)
    “…Existing eigenstructure-based direct multichannel blind image restoration techniques include nullspace-based and direct deconvolver estimation techniques. The…”
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    Journal Article
  18. 18

    AM-FM energy detection and separation in noise using multiband energy operators by Bovik, A.C., Maragos, P., Quatieri, T.F.

    Published in IEEE transactions on signal processing (01-12-1993)
    “…This paper develops a multiband or wavelet approach for capturing the AM-FM components of modulated signals immersed in noise. The technique utilizes the…”
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    Journal Article
  19. 19

    Shape from texture using local spectral moments by Super, B.J., Bovik, A.C.

    “…Presents a non-feature-based solution to the problem of computing the shape of curved surfaces from texture information. First, the use of local…”
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    Journal Article
  20. 20

    Foveation scalable video coding with automatic fixation selection by Zhou Wang, Ligang Lu, Bovik, A.C.

    Published in IEEE transactions on image processing (01-02-2003)
    “…Image and video coding is an optimization problem. A successful image and video coding algorithm delivers a good tradeoff between visual quality and other…”
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    Journal Article