Multiresolution mosaic

Author

Hsu, Chiou-Ting ; WU, JA-LING

Author_Institution

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

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

743

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 representations, 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 for the image mosaic by choosing the width of the 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; image texture; wavelet transforms; 1D signal mosaic; 2D signal mosaic; computer vision; frequency; image coding; image mosaic; image processing; mosaic techniques; mosaic transition zone; multiresolution mosaic; multiresolution representation; multiresolution signal decomposition; signal analysis; signal information content analysis; texture mapping; visual communication; visual signal processing; wavelet transform; Application software; Distortion; Image resolution; Information analysis; Signal analysis; Signal processing; Signal resolution; Visual communication; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560802

Filename

560802