Multi-Meanings Image Synthesis System

Author

Liu, Wenzhao ; Shi, Minyong

Author_Institution

Animation Sch., Commun. Univ. of China, Beijing, China

Volume

2

fYear

2009

fDate

6-7 June 2009

Firstpage

257

Lastpage

260

Abstract

A system for multi-meanings image synthesis based on wavelet transform is presented. The multi-meanings image was produced by two target images with different interpretations and two viewing distances or angles of view presented by user. The two target images were decomposed by wavelet transform with the scale which was selected by visual angles. The multi-meanings image viewed in two angles was reconstructed by elective fusion algorithms and variable weight. Compare and analysis was taken between the synthesis technique based on wavelet transform and two methods ago. Experimental results show that the images produced by the system had better characteristics of multi-meanings and compelling visible effect, and the images contained sufficient color and details of original images. The results were averaged for denoising.

Keywords

image denoising; image fusion; image reconstruction; wavelet transforms; elective fusion algorithm; image denoising; multimeaning image synthesis synthesis; wavelet transform; Animation; Computational intelligence; Filtering; Frequency; Humans; Image generation; Image reconstruction; Low pass filters; Noise reduction; Wavelet transforms; human visual characteristics; image fusion; multi-meanings image; target image; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3645-3

Type

conf

DOI

10.1109/CINC.2009.173

Filename

5230972