A Matrix-based Mathematical Model for Redundant Data Reduction from DICOM Images

9 Pages Posted: 3 Mar 2020

See all articles by Amit Shakya

Amit Shakya

SLIET

Ayushman Ramola

SLIET

Yash Tandon

Graphic Era University

Anurag Vidyarthi

Graphic Era University

Date Written: February 27, 2020

Abstract

In the era of the 21st century, there are many Nations who are not able to provide proper medical facilities for their citizens, as proper medical facilities require a large amount of investment and support. Here we have proposed a hybrid model of the digital image in communication and medicine (DICOM) image compression for the hospitals of rural India in which important information from a diagnostic point of view and non-important information can be kept together in the same image. As we are aware of the fact that DICOM images require large storage space so it is important to reduce the property of the DICOM images so that they can be easily stored, transmitted and operated wherever it is required. In this research work, we have obtained 60.83 % compression by using the proposed technique.

Keywords: DICOM, Hybrid model, Diagnostic point of view, Image compression

Suggested Citation

Shakya, Amit and Ramola, Ayushman and Tandon, Yash and Vidyarthi, Anurag, A Matrix-based Mathematical Model for Redundant Data Reduction from DICOM Images (February 27, 2020). 5th International Conference on Next Generation Computing Technologies (NGCT-2019), Available at SSRN: https://ssrn.com/abstract=3545074 or http://dx.doi.org/10.2139/ssrn.3545074

Amit Shakya (Contact Author)

SLIET ( email )

75792 18289 (Phone)

Ayushman Ramola

SLIET ( email )

Longowal
Sangrur
Punjab, PA 148106
India
8445967877 (Phone)

Yash Tandon

Graphic Era University ( email )

Dehradun
India

Anurag Vidyarthi

Graphic Era University ( email )

Dehradun, 248002
India

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