Title :
Stochastic subsampling and pixel clustering
Author :
Afanassyev, Denis ; Degtyarenko, Illia
Author_Institution :
Donetsk Nat. Univ., Donetsk, Ukraine
Abstract :
The proposed approach utilizes the redundancy of raw image data to build the stochastically sampled digital image model. This approach suppresses the appearance of alias components in subsampled image. The numerical experiment simulating a stochastic subsampling and interpolation of an image is described and the results are discussed.
Keywords :
image sampling; interpolation; pattern clustering; redundancy; stochastic processes; alias component; image interpolation; pixel clustering; raw image data redundancy; stochastic image subsampling; stochastically sampled digital image model; Electronic mail; alias components; pixel clustering; raw image; redundancy; stochastic sampling;
Conference_Titel :
Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 2012 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-1-4673-0283-8
