Medical Image Compression Based on Region of Interest

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Shaaban Dalia A.; Saad Mohamed H.; Madian Ahmed H.; Elmahdy Hesham N.

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Journal Paper

Paper Information

Journal: THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY Year:2019 | Volume:11 | Issue:3 Page(s): 29-34

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Title

Medical Image Compression Based on Region of Interest

Author(s)

Shaaban Dalia A. | Saad Mohamed H. | Madian Ahmed H. | Elmahdy Hesham N. | Issue Writer Certificate

Keywords

ROI

Lossless Compression

Medical Images

PSNR

Abstract

Medical Images show a great interest since it is needed in various medical applications. In order to decrease the size of Medical Images which are needed to be transmitted in a faster way; Region of Interest (ROI) and hybrid Lossless Compression techniques are applied on Medical Images to be compressed without losing important data. In this paper, a proposed model will be presented and assessed based on size of the image, the Peak Signal to Noise Ratio (PSNR), and the time that is required to compress and reconstruct the original image. The major objective of the proposed model is to minimize the size of image and the transmission time. Moreover, improving the PSNR is a critical challenge. The results of the proposed model illustrate that applying hybrid lossless techniques on the ROI of Medical Images reduces size by 39% and gives better results in terms of the compression ratio and PSNR.

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APA: Copy

Shaaban, Dalia A., Saad, Mohamed H., Madian, Ahmed H., & Elmahdy, Hesham N.. (2019). Medical Image Compression Based on Region of Interest. THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 11(3), 29-34. SID. https://sid.ir/paper/725807/en

Vancouver: Copy

Shaaban Dalia A., Saad Mohamed H., Madian Ahmed H., Elmahdy Hesham N.. Medical Image Compression Based on Region of Interest. THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY[Internet]. 2019;11(3):29-34. Available from: https://sid.ir/paper/725807/en

IEEE: Copy

Dalia A. Shaaban, Mohamed H. Saad, Ahmed H. Madian, and Hesham N. Elmahdy, “Medical Image Compression Based on Region of Interest,” THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, vol. 11, no. 3, pp. 29–34, 2019, [Online]. Available: https://sid.ir/paper/725807/en

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