Image anomalies: A review and synthesis of detection methods
We review the broad variety of methods that have been proposed for anomaly detection in
images. Most methods found in the literature have in mind a particular application. Yet we …
images. Most methods found in the literature have in mind a particular application. Yet we …
Image noise level estimation by principal component analysis
The problem of blind noise level estimation arises in many image processing applications,
such as denoising, compression, and segmentation. In this paper, we propose a new noise …
such as denoising, compression, and segmentation. In this paper, we propose a new noise …
A review of an old dilemma: Demosaicking first, or denoising first?
Image denoising and demosaicking are the first two crucial steps in digital camera pipelines.
In most of the literature, denoising and demosaicking are treated as two independent …
In most of the literature, denoising and demosaicking are treated as two independent …
Secrets of image denoising cuisine
Digital images are matrices of equally spaced pixels, each containing a photon count. This
photon count is a stochastic process due to the quantum nature of light. It follows that all …
photon count is a stochastic process due to the quantum nature of light. It follows that all …
Local signal-dependent noise variance estimation from hyperspectral textural images
A maximum-likelihood method for estimating hyperspectral sensors random noise
components, both dependent and independent from the signal, is proposed. A hyperspectral …
components, both dependent and independent from the signal, is proposed. A hyperspectral …
Single image noise level estimation by artificial noise
In this paper, we propose a new method for noise level estimation from a single noisy image
contaminated by additive white Gaussian noise and gamma noise, which usually appear …
contaminated by additive white Gaussian noise and gamma noise, which usually appear …
An advanced pre-processing pipeline to improve automated photogrammetric reconstructions of architectural scenes
Automated image-based 3D reconstruction methods are more and more flooding our 3D
modeling applications. Fully automated solutions give the impression that from a sample of …
modeling applications. Fully automated solutions give the impression that from a sample of …
Blind estimation of white Gaussian noise variance in highly textured images
M Ponomarenko, N Gapon, V Voronin… - arXiv preprint arXiv …, 2017 - arxiv.org
In the paper, a new method of blind estimation of noise variance in a single highly textured
image is proposed. An input image is divided into 8x8 blocks and discrete cosine transform …
image is proposed. An input image is divided into 8x8 blocks and discrete cosine transform …
Self-supervised super-resolution for multi-exposure push-frame satellites
Modern Earth observation satellites capture multi-exposure bursts of push-frame images that
can be super-resolved via computational means. In this work, we propose a super-resolution …
can be super-resolved via computational means. In this work, we propose a super-resolution …
Video joint denoising and demosaicing with recurrent CNNs
Denoising and demosaicing are two critical components of the image/video processing
pipeline. While historically these two tasks have mainly been considered separately, current …
pipeline. While historically these two tasks have mainly been considered separately, current …