Abstract
The article presents a method for estimating the level of discrete white noise in an image, based on the use of linear difference operators with a vector mask. Two variants of a new method for estimating the noise level are proposed, which differ in the accuracy of the obtained estimates and computational complexity. The first version of the method can be attributed to the class of block methods, whereas the second one is intended for the rapid image analysis and is based on processing a small number of rows or columns of an image.
Highlights
Исходное изображение разбивается на блоки одинакового размера, в каждом блоке вычисляется дисперсия изображения, выбирается один или 4 – 5 блоков с минимальными дисперсиями
The article presents a method for estimating the level of discrete white noise in an image, based on the use of linear difference operators with a vector mask
Two variants of a new method for estimating the noise level are proposed, which differ in the accuracy of the obtained estimates and computational complexity
Summary
Речь идет о свертке: в (3) матрицы ( st) весовых коэффициентов с матричным фрагментом изображения, в (4) вектора ( t) весовых коэффициентов с векторным фрагментом изображения
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