Multiresolution mosaic

Author

Hsu, Chiou-Ting ; WU, JA-LING

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

42

Issue

4

fYear

1996

fDate

11/1/1996 12:00:00 AM

Firstpage

981

Lastpage

990

Abstract

Mosaic techniques have been used to combine two or more signals into a new one with an invisible seam, and with as little distortion of each signal as possible. Multiresolution representation is an effective method for analyzing the information content of signals, and it also fits a wide spectrum of visual signal processing and visual communication applications. The wavelet transform is one kind of multiresolution representation, and has found a wide variety of application in many aspects, including signal analysis, image coding, image processing, computer vision and etc. Due to its characteristic of multiresolution signal decomposition, the wavelet transform is used in this paper to do the image mosaic by choosing the width of mosaic transition zone proportional to the frequency represented in the band. Both 1-D and 2-D signal mosaics are described, and some factors which affect the mosaics are discussed

Keywords

image representation; image resolution; wavelet transforms; 1D signal mosaics; 2D signal mosaics; image mosaic; mosaic techniques; mosaic transition zone; multiresolution mosaic; multiresolution representation; multiresolution signal decomposition; visual signal processing; wavelet transform; width; Application software; Distortion; Image resolution; Information analysis; Signal analysis; Signal processing; Signal resolution; Visual communication; Wavelet analysis; Wavelet transforms;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.555800

Filename

555800