Title
Generic Wavelet-Based Image Decomposition And Reconstruction Framework For Multi-Modal Data Analysis In Smart Camera Applications
Abstract
Effective acquisition, analysis and reconstruction of multi-modal data such as colour and multi-/hyper-spectral imagery is crucial in smart camera applications, where wavelet-based coding and compression of images are highly demanded. Many existing discrete wavelet filtering banks have fixed coefficients hence their performance is highly dependent on the signal/ image being processed. To tackle this problem, a unified framework is proposed in this study, which can produce a series of discrete wavelet filtering banks, where many existing discrete wavelet filtering banks become special cases of the framework. For each generated filtering bank, it consists of two decomposition filters and two reconstruction filters through an optimisation process. The efficacy of the filtering banks produced by the framework has been validated in two case studies, including colour image decomposition and reconstruction, and hyperspectral image classification. Comprehensive experiments have demonstrated the superior performance of the proposed framework, which will benefit the efficacy of smart camera and camera network applications.
Year
DOI
Venue
2020
10.1049/iet-cvi.2019.0780
IET COMPUTER VISION
DocType
Volume
Issue
Journal
14
7
ISSN
Citations 
PageRank 
1751-9632
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Yijun Yan1342.85
Yiguang Liu233837.15
Mingqiang Yang392.86
Huimin Zhao420623.43
Yanmei Chai500.34
Jinchang Ren6114488.54