[BOOK][B] From photon to pixel: the digital camera handbook
H Maître - 2017 - books.google.com
This second edition of the fully revised and updated From Photon to Pixel presents essential
elements in modern digital photographic devices. Our universal infatuation with photography …
elements in modern digital photographic devices. Our universal infatuation with photography …
Landscape more secure than portrait? Zooming into the directionality of digital images with security implications
The orientation in which a source image is captured can affect the resulting security in
downstream applications. One reason for this is that many state-of-the-art methods in media …
downstream applications. One reason for this is that many state-of-the-art methods in media …
Spectra estimation from raw camera responses based on adaptive local-weighted linear regression
An improved spectral reflectance estimation method is developed to transform raw camera
RGB responses to spectral reflectance. The novelty of our method is to apply a local …
RGB responses to spectral reflectance. The novelty of our method is to apply a local …
Noisesniffer: a fully automatic image forgery detector based on noise analysis
Images undergo a complex processing chain from the moment light reaches the camera's
sensor until the final digital image is delivered. Each of these operations leave traces on the …
sensor until the final digital image is delivered. Each of these operations leave traces on the …
Robust estimation of exposure ratios in multi-exposure image stacks
Merging multi-exposure image stacks into a high dynamic range (HDR) image requires
knowledge of accurate exposure times. When exposure times are inaccurate, for example …
knowledge of accurate exposure times. When exposure times are inaccurate, for example …
Bilateral spectrum weighted total variation for noisy-image super-resolution and image denoising
K Sun, S Simon - IEEE Transactions on Signal Processing, 2021 - ieeexplore.ieee.org
In this paper, we propose a regularization technique for noisy-image super-resolution and
image denoising. Total variation (TV) regularization is adopted in many image processing …
image denoising. Total variation (TV) regularization is adopted in many image processing …
A Bayesian hyperprior approach for joint image denoising and interpolation, with an application to HDR imaging
Recently, impressive denoising results have been achieved by Bayesian approaches which
assume Gaussian models for the image patches. This improvement in performance can be …
assume Gaussian models for the image patches. This improvement in performance can be …
Quantum entropy model of an integrated quantum-random-number-generator chip
We present the physical model for the entropy source of a quantum-random-number-
generator chip based on the quantum fluctuations of the photon number emitted by light …
generator chip based on the quantum fluctuations of the photon number emitted by light …
Best algorithms for HDR image generation. A study of performance bounds
Since the seminal work of Mann and Picard in 1995, the standard way to build high dynamic
range (HDR) images from regular cameras has been to combine a reduced number of …
range (HDR) images from regular cameras has been to combine a reduced number of …
A patch-based approach for removing impulse or mixed Gaussian-impulse noise
J Delon, A Desolneux - SIAM Journal on Imaging Sciences, 2013 - SIAM
In this paper, we address the problem of the restoration of images which have been affected
by impulse noise or by a mixture of Gaussian and impulse noise. We rely on a patch-based …
by impulse noise or by a mixture of Gaussian and impulse noise. We rely on a patch-based …