DocumentCode :
457482
Title :
OK-Quantization Theory - A Mathematical Theory of Quantization -
Author :
Koshimizu, Hiroyasu ; Tanaka, Yuji ; Fujiwara, Takayuki
Author_Institution :
Sch. of Comput. & Cognitive Sci., Chukyo Univ.
Volume :
3
fYear :
0
fDate :
0-0 0
Firstpage :
865
Lastpage :
868
Abstract :
A mathematical basis for the digitization of gray value of an image is proposed. This was called Oteru-Koshimizu quantization theorem (OK-QT), on the analogy of the Shannon sampling theorem (Shannon-ST) for the digitization of the shape of the image. Inspired by the fact that the Shannon-ST is the reconstruction theorem of the analog image from the discrete image, OK-QT was modeled as the reconstruction theorem of the shape of the probability density function of gray values of an image. This is a novel and unique mathematical basis for the digitization of the gray scale of an image. This paper outlines this theorem and also shows some experimental results to demonstrate its practical applicability. Through this, the OK-QT gives a clue to the mathematical paradigm for the complete basis for digitization, together with Shannon ST
Keywords :
data compression; image coding; image reconstruction; image sampling; information theory; Oteru-Koshimizu quantization theorem; Shannon sampling theorem; image gray value digitization; image reconstruction theorem; mathematical theory; Digital images; Fourier transforms; Histograms; Image reconstruction; Image sampling; Mathematical model; Numerical analysis; Probability density function; Quantization; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.896
Filename :
1699662
Link To Document :
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