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Advanced Statistical Tools for Enhanced Quality Digital Imaging with Realistic Capture Models

Edited by: Karen Egiazarian, Keigo Hirakawa, Aleksandra Pizurica and Javier Portilla

  1. Research

    Unsupervised estimation of signal-dependent CCD camera noise

    This article deals with an original method to estimate the noise introduced by optical imaging systems, such as CCD cameras. The power of the signal-dependent photon noise is decoupled from the power of the si...

    Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Selva and Lorenzo Stefani

    EURASIP Journal on Advances in Signal Processing 2012 2012:231

    Published on: 30 October 2012

  2. Research

    Realistic camera noise modeling with application to improved HDR synthesis

    Due to the ongoing miniaturization of digital camera sensors and the steady increase of the “number of megapixels”, individual sensor elements of the camera become more sensitive to noise, even deteriorating t...

    Bart Goossens, Hiêp Luong, Jan Aelterman, Aleksandra Pižurica and Wilfried Philips

    EURASIP Journal on Advances in Signal Processing 2012 2012:171

    Published on: 16 August 2012

  3. Research

    Inverse polynomial reconstruction method in DCT domain

    The discrete cosine transform (DCT) offers superior energy compaction properties for a large class of functions and has been employed as a standard tool in many signal and image processing applications. Howeve...

    Hamid Dadkhahi, Atanas Gotchev and Karen Egiazarian

    EURASIP Journal on Advances in Signal Processing 2012 2012:133

    Published on: 6 July 2012

  4. Research

    Analysis and processing of pixel binning for color image sensor

    Pixel binning refers to the concept of combining the electrical charges of neighboring pixels together to form a superpixel. The main benefit of this technique is that the combined charges would overcome the r...

    Xiaodan Jin and Keigo Hirakawa

    EURASIP Journal on Advances in Signal Processing 2012 2012:125

    Published on: 21 June 2012

  5. Research

    Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques

    We advocate a compressed sensing strategy that consists of multiplying the signal of interest by a wide bandwidth modulation before projection onto randomly selected vectors of an orthonormal basis. First, in ...

    Gilles Puy, Pierre Vandergheynst, Rémi Gribonval and Yves Wiaux

    EURASIP Journal on Advances in Signal Processing 2012 2012:6

    Published on: 12 January 2012

  6. Research

    Robust flash denoising/deblurring by iterative guided filtering

    A practical problem addressed recently in computational photography is that of producing a good picture of a poorly lit scene. The consensus approach for solving this problem involves capturing two images and ...

    Hae-Jong Seo and Peyman Milanfar

    EURASIP Journal on Advances in Signal Processing 2012 2012:3

    Published on: 6 January 2012

  7. Research

    Boundary reconstruction process of a TV-based neural net without prior conditions

    Image restoration aims to restore an image within a given domain from a blurred and noisy acquisition. However, the convolution operator, which models the degradation, is truncated in a real observation causin...

    Miguel A Santiago, Guillermo Cisneros and Emiliano Bernués

    EURASIP Journal on Advances in Signal Processing 2011 2011:115

    Published on: 23 November 2011