Edited by: Karen Egiazarian, Keigo Hirakawa, Aleksandra Pizurica and Javier Portilla
Advanced Statistical Tools for Enhanced Quality Digital Imaging with Realistic Capture Models
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Citation: EURASIP Journal on Advances in Signal Processing 2013 2013:140
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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...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:231 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:193 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:171 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:133 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:125 -
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 ...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:100 -
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 ...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:6 -
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 ...
Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:3 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:115