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Medical CT Image Amplification And Reconstruction System

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Published:12 November 2021Publication History

ABSTRACT

To be able to better the leaflet known to display the details of the CT medical images, this paper designed a set of medical image processing software interface system, outstanding help doctors diagnose in the medical image area, strengthen the details of the original low-resolution image recognition ability, reduce the information content of a single pixel, to improve the physician diagnosis effect. The medical image with higher resolution than the original image is obtained by using the super-resolution reconstruction algorithm based on interpolation, which mainly includes three algorithms: adjacent interpolation, bilinear interpolation, and bicubic interpolation. This article in to protect the image detail better double interpolation method based on the three times in a child function before the @ jit in real-time, and make the operation speed of nearly 600 times, improves the resolution, increases the pixel, and make the image more clear, and you can also realize the image of the shear, to enlarge beneficial to physicians discriminant disease, 16 times, 64 times the level of CT images can be achieved relatively clear amplification effect and can help physicians discriminant disease medical CT images effectively.

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  1. Medical CT Image Amplification And Reconstruction System

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        cover image ACM Other conferences
        ICDLT '21: Proceedings of the 2021 5th International Conference on Deep Learning Technologies
        July 2021
        131 pages
        ISBN:9781450390163
        DOI:10.1145/3480001

        Copyright © 2021 ACM

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        Publication History

        • Published: 12 November 2021

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