Something More for Research

Explorer of Research #HEMBAD


Posted by Hemprasad Y. Badgujar on February 5, 2015

  • CGI or Photo? [download]
  • Clutter: quantify the amount of clutter in an image. [download]
  • Derivative Filters. [download]
  • Fractional Differentiation. [download]
  • Fractional Fourier Transform. [download]
  • Gamma Correction: blind removal of gamma correction. [download]
  • ICA: separating reflections. [download]
  • Phototop: surface topography from unconstrained photos. [download]
  • Q: an interface to Matlab for manipulating and analyzing digital images. [download]
  • Qr: image registration. [download]
  • Q5: probabilistic disease classification mass spectrometry. [download]
  • SPHARM: 3-D spherical harmonic analyses on triangular mesh surfaces. [download]
  • Steerable wedge filters. [download]
  • Steganalysis. [download]
  • Wild-ID: pattern extraction and matching for use in photographic mark-recapture studies. [download]
    • Sparse representation-based image decomposition: MCALab

    §  1D and 2D Morphological Component Analysis,

    §  Screen shots.

    §  Downloads:

    §  Matlab toolbox NEW version.

    §  C++ toolbox NEW.

    §  Multichannel GMCA.

    • Sparse representation-based image inpainting
  • Sparse representation-based linear inverse problems
  • Sparse representation-based image denoising
  • Structural and random noise modeling.
  • Parametric, non-parametric and semi-parametric linear models estimation.
  • Parametric and non-parametric inference.
  • Spatio-temporal multi-scale processes.
  • NIH Human Brain Project page: Wavelets, fractals and fMRI of brain adaptivity.
  • Basler Camera Scout series 


  • Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion
    Jian-Gang Wang ; Sung, E. ; Wei-Yun Yau ;
    IEEE Transactions on Image Processing, July 2011, Volume : 20 , Issue:7, pp. 2049 – 2062
    DOI: 10.1109/TIP.2011.2106794

  • Image Processing – Algorithms

  • Perceptually-Plausible Conversion of Images to Grayscale
  • Particle


  • Sparse representation-based image denoising
  • A no-reference objective image sharpness metric based on the notion of Just Noticeable Blur (JNB)
    R. Ferzli and L. J. Karam
    IEEE Transactions on Image Processing, vol. 18, pp. 717-728, Apr. 2009
    Subclass of: 359 – Optical: systems and elements
  • Visual Quality
  • Lab 10b – Image Processing (part 2)
  • No-reference Perceptual Blur Metric
    Pina Marziliano, Frederic Dufaux, Stefan Winkler and Touradj Ebrahimi
    IEEE 2002 International Conference on Image Processing
  • Local scale control for edge detection and blur estimation
    J. H. Elder and S. W. Zucker
    IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(7):699–716, July 1998
    DOI: 10.1109/34.689301
  • James Elder
  • A No-Reference Perceptual Quality Metric based on cumulative probability of blur detection
    N. D. Narvekar, and L. J. Karam
    First International Workshop on Quality of Multimedia Experience-09, pp. 87-91, July 2009
  • An Improved No-Reference Sharpness Metric Based on the Probability of Blur Detection
    Niranjan D. Narvekar and Lina J. Karam
    International Workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM), January 2010,
  • What makes an image memorable?
    Phillip Isola Jianxiong Xiao Antonio Torralba Aude Oliva
  • Image super-resolution via sparse representation
    Jianchao Yang, John Wright, Thomas Huang, and Yi Ma
    IEEE Transactions on Image Processing, vol. 19, issue 11, November 2010
    DOI: 10.1109/TIP.2010.2050625

  • A simple object detector with boosting
    ICCV 2005 short courses on Recognizing and Learning Object Categories

  • Efficient Belief Propagation for Early Vision
    Pedro F. Felzenszwalb and Daniel P. Huttenlocher
    International Journal of Computer Vision, Vol. 70, No. 1, October 2006

  • Boundary Learning by Optimization with Topological Constraints
    V. Jain, B. Bollmann, M. Richardson, D.R. Berger, M.N. Helmstaedter, K.L. Briggman, W. Denk, J.B. Bowden, J.M. Mendenhall, W.C. Abraham, K.M. Harris, N. Kasthuri, K.J. Hayworth, R. Schalek, J.C. Tapia, J.W. Lichtman, S.H. Seung
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010), pp. 2488-2495
  • MATLAB Toolbox

  • The Antialiased Textural Analysis of Aeromagnetic Data
    G.R.J. Cooper
    Computers & Geosciences, Volume 35, Issue 3, March 2009, Pages 586-591
  • Improved Adaptive Gaussian Mixture Model for Background Subtraction
    Zoran Zivkovic
    Proceedings of the 17th International Conference on Pattern Recognition, 2004 (ICPR 2004), August 23-26 2004, pp. 28-31
    DOI: 10.1109/ICPR.2004.1333992

  • Dynamic Solid State Lighting
    M. Aldrich
    Master’s Thesis, Massachusetts Institute of Technology (2010)
  • Scale-Space and Edge Detection Using Anisotropic Diffusion.
    P. Perona and J. Malik.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7):629-639, July 1990.

  • pspectro: Photometric and Colorimetric Calculations
  • The CIFAR-10 dataset consists of 60000 32×32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.


  • Texture classification test suites
  • Test Images for Wallflower Paper
  • Archive Facedatabase
  • Datasets for Computer Vision Research
  • WILLOW HOME – Software/Datasets
  • Minh DO – Software
  • Truong Nguyen (Professor of Electrical Engineering, University of California, San Diego, USA)
  • Truong Nguyen (Professor of Electrical Engineering, University of California, San Diego, USA)
  • Welcome to Video Processing Lab (University of California, San Diego, USA)
  • PDTDFB Toolbox
  • Minh DO – Software
  • October 2011 – BHC

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