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High resolution reconstruction method of ghost imaging via SURF-NSML
Ye Hualong,Kang Yi,Wang Jian,Zhang Leihong,Sun Haojie,Zhang Dawei 한국물리학회 2022 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.80 No.10
To meet the visual characteristics of human eyes, high resolution imaging technology came into being. In this paper, a high resolution reconstruction method of ghost imaging via SURF-NSML is proposed. Using the image registration method of Speeded Up Robust Features (SURF) and the fusion algorithm of New Sum of Modifed Laplacian (NSML), a series of low-resolution images obtained by the ghost imaging system were registered and fused to obtain high-resolution images. This high resolution image reconstruction method does not need the use of spectroscopic devices, flters and other devices, simplifying the experimental equipment; and it is received by a bucket detector, which greatly increases the utilization of experimental equipment. By the reconstruction analysis of images from natural scenes and from the medical feld, it is proved that this method combining the device platform with the language algorithm can reconstruct the target image with better visual characteristics and richer details, which has a good promotion efect on the research of image reconstruction.