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Digital Image Processing and Analysis (2010)

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  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMA1
  • OSA Technical Digest (CD)
  • Bovik, Alan C
  • In this talk I will discuss our recent efforts on blind or “no reference” image quality assessment problems, including machine learning approaches and the looming ...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMA2
  • OSA Technical Digest (CD)
  • Kerekes, John P
  • The assignment of a quantitative spectral image quality metric is discussed with an approach proposed. Quality is divided into fidelity and utility components, with utility studied in...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMB1
  • OSA Technical Digest (CD)
  • Simoncelli, Eero
  • Article not availalbe.

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMB2
  • OSA Technical Digest (CD)
  • Guleryuz, Onur
  • Article not availalbe.

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMB3
  • OSA Technical Digest (CD)
  • Ke, Jun; Berkner, Kathrin; Robinson, Dirk; Stork, David G
  • We describe a method for selecting filter sets for simultaneously optimizing the classification rates in two separate spectral signature classification problems. Our system's...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMB4
  • OSA Technical Digest (CD)
  • Schaum, Alan
  • A new methodology is described for addressing composite hypothesis testing problems. Continuum Fusion integrates an infinity of optimal methods, when the correct choice is unknown. An...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMC1
  • OSA Technical Digest (CD)
  • Freeman, William
  • "Blind deconvolution" is a beautiful, ill-posed problem: given an image that has been blurred by some unknown convolution kernel, estimate the image before it was it blurred. Lurking...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMC2
  • OSA Technical Digest (CD)
  • Ni, Jie; Turaga, Pavan; M Patel, Vishal; Chellappa, Rama
  • In this paper we propose a manifold based deconvolution algorithm by estimating a manifold from a set of natural images that exploits the availability of the sample class data for...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMC3
  • OSA Technical Digest (CD)
  • Slack, Thomas B; Reynolds, Robert K; Iftekharuddin, Khan
  • 360° planar viewing is achieved by placing a polished aluminum cone in front of a long-wave IR camera. Objects are extracted from the circular reflected image for means of detection...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMC4
  • OSA Technical Digest (CD)
  • Hirakawa, Keigo
  • High dynamic range (HDR) imaging requires bracketing---low dynamic range images with varying exposures---and postprocessing to blend appropriately exposed portions together. We analyze...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMC5
  • OSA Technical Digest (CD)
  • Sundaram, Ramakrishnan
  • Band-pass filters and block-based transforms are developed to retrieve signal discontinuities in sampled data. The filter coefficients are determined from the space or...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMD1
  • OSA Technical Digest (CD)
  • Bhakta, Vikrant R; Somayaji, Manjunath; Christensen, Marc P
  • A method for measuring the Phase Transfer Function (PTF) from a high-contrast edge image is proposed and the advantages of utilizing the knowledge of PTF in computational, sparse...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMD4
  • OSA Technical Digest (CD)
  • Rivas-Perea, Pablo; Rosiles, Jose G
  • We present a simple probabilistic model for dust aerosol detection, analysing MODIS 11.3µm and 12.02µm thermal emissive bands. We introduce a dust aerosol probabilistic visualization,...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMD5
  • OSA Technical Digest (CD)
  • Palomero, Cherry May; Soriano, Maricor
  • We demonstrate that a neural network can be trained to learn the transformation from dirty to clean segments of a painting and used it to digitally clean an image of Amorsolo’s...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DMD6
  • OSA Technical Digest (CD)
  • Valdiviezo-Navarro, Juan C; Urcid-S , Gonzalo
  • This manuscript introduces a method for the autonomous segmentation of ancient documents multispectral images. The procedure uses lattice associative memories to determine the purest...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DTuA1
  • OSA Technical Digest (CD)
  • Piestun, Rafael
  • Novel three-dimensional fluorescence microscopy techniques enable diffraction unlimited imaging. Resolution is limited by the photon count and the underlying noise. I discuss the role...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DTuA2
  • OSA Technical Digest (CD)
  • Myneni, Vimeetha; Preza, Chrysanthe
  • We show that the use of multiple depth-variant point-spread functions in 3-D fluorescence intensity reconstruction provides improved optical sectioning over deconvolution methods by...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DTuA3
  • OSA Technical Digest (CD)
  • Young, Stefano; Bakic, Predrag; Myers, Kyle J; Park, Subok
  • Digital breast tomosynthesis (DBT) researchers need accurate, inexpensive, task-based assessment tools for optimizing multivariate DBT systems. With improved object statistics and...

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DTuB1
  • OSA Technical Digest (CD)
  • O'Sullivan, Joseph
  • Article not availalbe.

  • Digital Image Processing and Analysis (DIPA) 2010 paper: DTuB2
  • OSA Technical Digest (CD)
  • Samala, Ravi K; Potunuru, Venkata S; Zhang, Jianying; Cabrera, Sergio D; Qian, Wei
  • Texture features of histopathological images of lung carcinoma have been evaluated using gray level co-occurrence matrices and multiwavelets. The investigation is done from a...
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