Refining Medical Image Steganography Scheme Based on Pixels Disparity Value and Huffman Coding

https://doi.org/10.55529/jipirs.25.28.52

Authors

  • Mohammed Ibrahim Mahdi Department of Computer Science, College of Computer Science and Information Technology, Wasit University, Al-Kut City, Wasit Governorate, Iraq.

Keywords:

Medical Images, Image Steganography, Huffman Coding, Security, Imperceptibility, Pixel Value.

Abstract

The steganography is a new and challenging method for transmitting confidential information over the internet utilizing a hidden cover object. Developing an efficient picture steganography system is currently fraught with difficulties because of the limited capacity, weak resilience, and imperceptibility of current steganography systems under development. This problem can only be solved by increasing the picture steganography's capability and security levels. Methods: Based on these variables, this work aims to present the state-of-the-art approach known as the Pixels Disparity Value (PDV) that hides patient information reports in the distinct medical photos for the second party. It's recommended that the procedure be broken down into three primary phases, each with its own set of instructions. Results: The statistical and economic evaluations of the suggested approach.

Published

2022-09-24

How to Cite

Mohammed Ibrahim Mahdi. (2022). Refining Medical Image Steganography Scheme Based on Pixels Disparity Value and Huffman Coding. Journal of Image Processing and Intelligent Remote Sensing, 2(05), 28–52. https://doi.org/10.55529/jipirs.25.28.52

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