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