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Image fusion based on multiscale transform and sparse representation to enhance terahertz images
Mao, Qi1; Zhu, Yunlong2; Lv, Cixing3; Lu, Yao3; Yan, Xiaohui3; Wei, Dongshan3; Yan, Shihan4; Liu, Jingbo3
2020-08-17
摘要High-quality terahertz (THz) images are vital to integrated circuit (IC) manufacturing. Due to the unique sensitivity of THz waves to different materials, the images obtained from the point-spread function (PSF) model have fewer image details and less texture information in some frequency bands. This paper presents an image fusion technique to enhance the resolution of THz IC images. The source images obtained from the PSF model are processed by a fusion method combining a multiscale transform (MST) and sparse representation (SR). The low-pass band is handled by sparse representation, and the high-pass band is fused by the conventional "max-absolute" rule. From both objective and visual perspectives, four popular multiscale transforms-the Laplacian pyramid, the ratio of low-pass pyramids, the dual-tree complex wavelet transform and the curvelet transform-are thoroughly compared at different decomposition levels ranging from one to four. This work demonstrates the feasibility of using image fusion to enhance the resolution of THz IC images. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
DOI10.1364/OE.396604
发表期刊OPTICS EXPRESS
ISSN1094-4087
卷号28期号:17页码:25293-25307
通讯作者Zhu, Yunlong(zyl@fudan.edu.cn) ; Lv, Cixing(cixinglv@163.com)
收录类别SCI
WOS记录号WOS:000560936200078
语种英语