Title: Development of computational procedure of local image processing, based on the usage of hierarchical regression
Authors: Kopenkov, V. N.
Citation: WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 129-135.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf
ISBN: 978-80-86943-58-9
ISSN: 2464-4617
Keywords: místní zpracování;hierarchická regrese;intervalový odhad;funkce kompletní kluzné kontroly kvality
Keywords in different language: local processing;hierarchical regression;interval estimate;function of complete sliding quality control
Abstract: The article deal with technology of digital images processing on the base of non-linear algorithms. This approach allows to construct the efficient procedure of local image processing. The aim of this research is to workout an algorithm of processing images with predetermined computational complexity and the best quality of processing on the existing data set avoiding a problem of retraining or lesstraining. To achieve this aim we use local discrete wavelet transformation and hierarchical regression to construct local image processing procedure on the base of a training dataset. Moreover, we workout method to estimate the necessity of finishing or continuing the training process. This method is based on of the functional of full cross-validation control which allow to construct processing procedure with predetermined computational complexity and veracity, and with the best quality.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2016: Short Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29696

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