Paper Info
Title
Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform.
Abstract
The energy compaction and multiresolution properties of wavelets have made the image fusion successful in combining important features such as edges and textures from source images without introducing any artifacts for context enhancement and situational awareness. The wavelet transform is visualized as a convolution of wavelet filter coefficients with the image under consideration and is computationally intensive. The advent of lifting-based wavelets has reduced the computations but at the cost of visual quality and performance of the fused image. To retain the visual quality and performance of the fused image with reduced computations, a discrete cosine harmonic wavelet (DCHWT)-based image fusion is proposed. The performance of DCHWT is compared with both convolution and lifting-based image fusion approaches. It is found that the performance of DCHWT is similar to convolution-based wavelets and superior/similar to lifting-based wavelets. Also, the computational complexity (in terms of additions and multiplications) of the proposed method scores over convolution-based wavelets and is competitive to lifting-based wavelets.
Year
DOI
Venue
2013
10.1007/s11760-012-0361-x
Signal, Image and Video Processing
Keywords
Field
DocType
Image fusion, Pixel significance, Multifocus, Multisensor, Discrete wavelet transform, Harmonic wavelet transform, Discrete cosine harmonic wavelet transform
Computer vision,Image fusion,Lifting scheme,Pattern recognition,Gabor wavelet,Fast wavelet transform,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Mathematics,Wavelet transform,Wavelet
Journal
Volume
Issue
ISSN
7
6
1863-1711
Citations 
PageRank 
References 
15
0.75
16
Authors
1
Name
Order
Citations
PageRank
B. K. ShreyamshaKumar1997.66