DocumentCode :
1886149
Title :
Improvement of the image enlargement method based on the Laplacian pyramid representation
Author :
Watanabe, Atsuyori ; Taguchi, Akira
Author_Institution :
Musashi Inst. of Technol., Tokyo, Japan
fYear :
2005
fDate :
18-20 May 2005
Firstpage :
3
Abstract :
Summary form only given. It is necessary to predict unknown higher-frequency components that are lost by sampling for enlarging digital images. Based on the Laplacian pyramid representation, the prediction of unknown higher-frequency components is equivalent to the prediction of a known higher-resolution Laplacian image. We have proposed the higher resolution method based on the Laplacian pyramid representation. However, the Laplacian pyramid representation was considered for image compression. Thus, we think that the bandwidth of the Gaussian filter for image compression is not optimal for digital image enlargement. In this paper, we proposed a new enlargement method for digital images with the variable bandwidth of Gaussian filter.
Keywords :
Gaussian distribution; data compression; filtering theory; image coding; image representation; image resolution; prediction theory; Gaussian filter; Laplacian pyramid representation; digital images; higher-frequency components; image compression; image enlargement; prediction; variable bandwidth; Laplace equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nonlinear Signal and Image Processing, 2005. NSIP 2005. Abstracts. IEEE-Eurasip
Conference_Location :
Sapporo
Print_ISBN :
0-7803-9064-4
Type :
conf
DOI :
10.1109/NSIP.2005.1502210
Filename :
1502210
Link To Document :
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