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

Advanced statistical tools for enhanced quality digital imaging with realistic capture models

Authors: Aleksandra Pižurica, Javier Portilla, Keigo Hirakawa and Karen Egiazarian

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...

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

Efficient shift-variant image restoration using deformable filtering (Part II): PSF field estimation

We present a two-step technique for estimating the point spread function (PSF) field from a single star field image affected by shift-variant (SV) blur. The first step estimates the best-fitting PSF for each b...

Authors: David Miraut, Johannes Ballé and Javier Portilla

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...

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

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...

Authors: Hamid Dadkhahi, Atanas Gotchev and Karen Egiazarian

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...

Authors: Xiaodan Jin and Keigo Hirakawa

Efficient shift-variant image restoration using deformable filtering (Part I)

In this study, we propose using the least squares optimal deformable filtering approximation as an efficient tool for linear shift variant (SV) filtering, in the context of restoring SV-degraded images. Based ...

Authors: David Miraut and Javier Portilla

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 ...

Authors: Gilles Puy, Pierre Vandergheynst, Rémi Gribonval and Yves Wiaux

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 ...

Authors: Hae-Jong Seo and Peyman Milanfar

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...

Authors: Miguel A Santiago, Guillermo Cisneros and Emiliano Bernués