Title :
An Improved Regularization-Based Super-Resolution Reconstruction for Multi-frame Passive Millimeter-Wave Images
Author :
He, Junfeng ; Xiong, Jintao ; Yang, Jianyu
Author_Institution :
Sch. of Electr. Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
Abstract :
In passive millimeter wave imaging, the image gets low resolution for the limitation of the antenna aperture. It is necessary to improve the quality of the image in the way of signal processing. This paper puts forward an improved regularization-based method for the reconstruction of the passive millimeter wave image sequences. First of all, this method utilizes an improved Laplacian operator to represent the prior information of the image. Then it enlarges the image in the way of partial differential equations and reconstructs to get high resolution image in the end. The proposed algorithm can improve the image resolution effectively while it preserves the edges of the image. The experiment completed with simulated image as well as actual passive millimeter-wave image in 91.5 GHz demonstrate the effectiveness and the feasibility of the algorithm.
Keywords :
image reconstruction; image resolution; image sequences; millimetre wave antennas; millimetre wave imaging; partial differential equations; Laplacian operator; antenna aperture; image edge preservation; image quality improvement; multiframe passive millimeter-wave images; partial differential equations; regularization-based super-resolution reconstruction improvement; signal processing methods; Image edge detection; Image reconstruction; Image resolution; Image sequences; Interpolation; Laplace equations; Millimeter wave technology; Edge preservation; Improved Laplacian operator; Multi-frame super resolution; Partial differential equations;
Conference_Titel :
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-4873-7
DOI :
10.1109/CIT.2012.162
