A comparative analysis of pixel-level image fusion based on sparse representation

Hang Tan*, Xianhe Huang, Huachun Tan*, Changtao He

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Along with the development of wavelet transform (WT) technique, sparse representation as a new tool also gradually lead to the researchers' wide interests. In our study, a sparse representation based unified image fusion model is introduced. Under this fusion model, we compare several fusion results of combining different overcomplete dictionaries and sparse coefficients, and eventually find a best combination. Extensive experiment is implemented on two source images, and results illustrate the proposed fusion model is very effective. Furthermore, we also find an optimal combination of dictionary and sparse coefficient for pixel-level image fusion.

源语言英语
主期刊名2012 International Conference on Computational Problem-Solving, ICCP 2012
332-334
页数3
DOI
出版状态已出版 - 2012
活动2012 International Conference on Computational Problem-Solving, ICCP 2012 - Leshan, 中国
期限: 19 10月 201221 10月 2012

出版系列

姓名2012 International Conference on Computational Problem-Solving, ICCP 2012

会议

会议2012 International Conference on Computational Problem-Solving, ICCP 2012
国家/地区中国
Leshan
时期19/10/1221/10/12

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