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Title: Analysis of identification of digital images from a map of cosmic microwaves
Authors: Skeivalas, Jonas
Turla, Vytautas
Jurevičius, Mindaugas
Viselga, Gintas
Keywords: Planck microwave map
Digital images
Covariance function
Issue Date: 2018
Publisher: IACS
Citation: Skeivalas, J.; Turla, V.; Jurevičius, M.; Viselga, G. 2018. Analysis of identification of digital images from a map of cosmic microwaves, Indian journal of physics 92(4): 417–421
Series/Report no.: 92;4
Abstract: This paper discusses identification of digital images from the cosmic microwave background radiation map formed according to the data of the European Space Agency “Planck” telescope by applying covariance functions and wavelet theory. The estimates of covariance functions of two digital images or single images are calculated according to the random functions formed of the digital images in the form of pixel vectors. The estimates of pixel vectors are formed on expansion of the pixel arrays of the digital images by a single vector. When the scale of a digital image is varied, the frequencies of single-pixel color waves remain constant and the procedure for calculation of covariance functions is not affected. For identification of the images, the RGB format spectrum has been applied. The impact of RGB spectrum components and the color tensor on the estimates of covariance functions was analyzed. The identity of digital images is assessed according to the changes in the values of the correlation coefficients in a certain range of values by applying the developed computer program.
ISSN: 0973-1458
Appears in Collections:Moksliniai straipsniai / Research articles

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