Novel Approaches for Regional Multi-focus Image Fusion

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Status	已發表Published
	Novel Approaches for Regional Multi-focus Image Fusion
	Chen, L.; Duan, J.; Chen, C. L.
	2016-11-01
Source Publication	Recent Advances in Image and Video Coding
Publisher	InTech
Pages	1-18
Abstract	Image fusion is a research topic about combining information from multiple images into one fused image. Although a large number of methods have been proposed, many challenges remain in obtaining clearer resulting images with higher quality. This chapter addresses the multifocus image fusion problem about extending the depth of field by fusing several images of the same scene with different focuses. Existing research in multifocus image fusion tends to emphasis on the pixel-level image fusion using transform domain methods. The region-level image fusion methods, especially the ones using new coding techniques, are still limited. In this chapter, we provide an overview of regional multi-focus image fusion, and two different orthogonal matching pursuit based sparse representation methods are adopted for regional multi-focus image fusion. Experiment results show that the regional image fusion using sparse representation can achieve a comparable even better performance for multifocus image fusion problems.
Keyword	Image Fusion
Language	英語English
ISBN	9789535148807
The Source to Article	PB_Publication
PUB ID	26024
Document Type	Book chapter
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Chen, L.
Recommended Citation GB/T 7714	Chen, L.,Duan, J.,Chen, C. L.. Novel Approaches for Regional Multi-focus Image Fusion[M]. Recent Advances in Image and Video Coding:InTech, 2016, 1-18.
APA	Chen, L.., Duan, J.., & Chen, C. L. (2016). Novel Approaches for Regional Multi-focus Image Fusion. Recent Advances in Image and Video Coding, 1-18.

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