Search Results - "Panetta, K."

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  1. 1

    Nonlinear Unsharp Masking for Mammogram Enhancement by Panetta, K., Yicong Zhou, Agaian, S., Hongwei Jia

    “…This paper introduces a new unsharp masking (UM) scheme, called nonlinear UM (NLUM), for mammogram enhancement. The NLUM offers users the flexibility 1) to…”
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    Journal Article
  2. 2

    Parameterized Logarithmic Framework for Image Enhancement by Panetta, K, Agaian, S, Yicong Zhou, Wharton, E J

    “…Image processing technologies such as image enhancement generally utilize linear arithmetic operations to manipulate images. Recently, Jourlin and Pinoli…”
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    Journal Article
  3. 3

    (n, k, p)-Gray code for image systems by Yicong Zhou, Panetta, K., Agaian, S., Chen, C. L. P.

    Published in IEEE transactions on cybernetics (01-04-2013)
    “…This paper introduces a new parametric n -ary Gray code, the ( n , k , p )-Gray code, which includes several commonly used codes such as the binary-reflected,…”
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    Journal Article
  4. 4

    Transform-based image enhancement algorithms with performance measure by Agaian, S.S., Panetta, K., Grigoryan, A.M.

    Published in IEEE transactions on image processing (01-03-2001)
    “…This paper presents a new class of the "frequency domain"-based signal/image enhancement algorithms including magnitude reduction, log-magnitude reduction,…”
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    Journal Article
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    Dengue virus NS1 protein activates cells via Toll-like receptor 4 and disrupts endothelial cell monolayer integrity by Modhiran, Naphak, Watterson, Daniel, Muller, David A, Panetta, Adele K, Sester, David P, Liu, Lidong, Hume, David A, Stacey, Katryn J, Young, Paul R

    Published in Science translational medicine (09-09-2015)
    “…Complications arising from dengue virus infection include potentially fatal vascular leak, and severe disease has been linked with excessive immune cell…”
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    Journal Article
  8. 8

    Efficient concurrent simulation of large networks using various fault models by Weststrate, E., Panetta, K.

    “…An improved fault simulation environment is described, and details of its faulting capability are presented and tested. The versatility of our fault simulator…”
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    Conference Proceeding
  9. 9

    The efficacy of retrograde infusion with LY231617 in a rat middle cerebral artery occlusion model by Inoue, N, Yamamoto, Y L, Ito, Y, Clemens, J A, Panetta, J K, Diksic, M

    Published in Canadian journal of neurological sciences (01-08-1996)
    “…We examined the efficacy of the antioxidant LY231617 administered five hours following middle cerebral artery (MCA) occlusion in rats. The treatment was…”
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    Journal Article
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    Human visual system based similarity metrics by Wharton, E., Panetta, K., Agaian, S.

    “…Objective assessment of image quality is important for a number of image processing applications. Similarity metrics have been used for methods such as…”
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    Conference Proceeding
  12. 12

    Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy by Agaian, S.S., Silver, B., Panetta, K.A.

    Published in IEEE transactions on image processing (01-03-2007)
    “…Many applications of histograms for the purposes of image processing are well known. However, applying this process to the transform domain by way of a…”
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    Journal Article
  13. 13

    New edge detection algorithms using alpha weighted quadratic filter by Chen Gao, Panetta, K., Agaian, S.

    “…In this paper, we introduce two novel edge detection algorithms based on a negative alpha weighted quadratic filter. The goal of this work is to utilize the…”
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    Conference Proceeding
  14. 14

    Color image enhancement algorithms based on the DCT domain by Junjun Xia, Panetta, K., Agaian, S.

    “…This paper presents a novel modified multi scale contrast enhancement (MMCE) technique for color image enhancement based on manipulating the DCT coefficients…”
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    Conference Proceeding
  15. 15

    A non-reference measure for objective edge map evaluation by Nercessian, S., Panetta, K., Agaian, S.

    “…Edge detection has been used extensively as a preprocessing step for many computer vision tasks. Due to its importance in image processing and the highly…”
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    Conference Proceeding
  16. 16

    Image encryption using binary key-images by Yicong Zhou, Panetta, K., Agaian, S.

    “…This paper introduces a new concept for image encryption using a binary ¿key-image¿. The key-image is either a bit plane or an edge map generated from another…”
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    Conference Proceeding
  17. 17

    Human visual system-based image fusion for surveillance applications by Nercessian, S., Panetta, K., Agaian, S.

    “…Image fusion algorithms combine images obtained using different sensors into a single image to provide contextual enhancement of the scene being observed. The…”
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    Conference Proceeding
  18. 18

    Multi-scale image fusion using the Parameterized Logarithmic Image Processing model by Nercessian, S, Panetta, K, Agaian, S

    “…Image fusion is the process of combining multiple images into a single image which retains the most pertinent information from each original image source. More…”
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    Conference Proceeding
  19. 19

    Logarithmic edge detection with applications by Wharton, E.J., Panetta, K., Agaian, S.S.

    “…In real world machine vision problems, issues such as noise and variable scene illumination make edge and object detection difficult. There exists no universal…”
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    Conference Proceeding
  20. 20

    Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure by Panetta, K.A., Wharton, E.J., Agaian, S.S.

    “…Varying scene illumination poses many challenging problems for machine vision systems. One such issue is developing global enhancement methods that work…”
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    Journal Article