Wavelet Transform with a Novel Integration Technique for Image Fusion

Yong  Yang

doi:10.4028/www.scientific.net/AMR.204-210.1419

Paper Titles

On the Measure of Compactness of Fuzzy Clustering
p.1403

Moving Object Detection Based on Edge Pair Difference
p.1407

Gear Fault Detection Based on Angle Domain Average and Teager Kaiser Energy Operator Demodulation Technique
p.1411

Contour Extraction of Cerebrovascular Based on Maximum Optimization Cost
p.1415

Wavelet Transform with a Novel Integration Technique for Image Fusion
p.1419

Data Processing and Error Analysis of Phased-Array Doppler Sonar Velocity System
p.1423

The Experimental Data Analysis of Vector Hydrophone
p.1427

The Software Design of Underwater Acoustic Remote-Control Coding System
p.1431

Study of Substantive Characteristics on Integrated and Intelligent Transportation System
p.1437

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Wavelet Transform with a Novel Integration...

Wavelet Transform with a Novel Integration Technique for Image Fusion

Abstract:

Image fusion is to combine several different source images to form a new image by using a certain method. Recent studies show that among a variety of image fusion algorithms, the wavelet-based method is more effective. In the wavelet-based method, the key technique is the fusion scheme, which can decide the final fused result. This paper presents a novel fusion scheme that integrates the wavelet decomposed coefficients in a quite separate way when fusing images. The method is formed by considering the different physical meanings of the coefficients in both the low frequency and high frequency bands. The fused results were compared with several existing fusion methods and evaluated by three measures of performance. The experimental results can demonstrate that the proposed method can achieve better performance than conventional image fusion methods.