A maximum-likelihood method for estimating hyperspectral sensors random noise
components, both dependent and independent from the signal, is proposed. A hyperspectral …

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 …

This article addresses under which conditions filtering can visibly improve the image quality.
The key points are the following. First, we analyze filtering efficiency for 25 test images, from …

The problem of automatic detection of image areas appropriate for accurate estimation of
additive noise standard deviation (STD) irrespectively to processed image properties is …

In many modern applications, methods and algorithms used for image processing require a
priori knowledge or estimates of noise type and its characteristics. Noise type and basic …

In design of many image processing methods and algorithms, it is assumed that noise is iid
However, noise in real life images is often spatially correlated and ignoring this fact can lead …

Blind estimation of noise characteristics (BENC), such as noise type, its statistics and
spectrum, has become an actual practical task for various image processing applications …

Modern imaging systems provide a huge amount of images nowadays. These images are of
different original quality. Some of them are practically ready for exploitation, eg, visual …

An automatic method for blind evaluation of additive noise in digital image based on image
pre-segmentation, Gaussianity test, and minimal inter-quantile processing of a set of local …

Modern imaging systems provide a huge amount of images nowadays. These images are of
different original quality. Some of them are practically ready for exploitation, eg, visual …