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Modelling and Analysis of Hybrid Transformation for Lossless Big Medical Image Compression.

Xingsi Xue¹, Raja Marappan², Sekar Kidambi Raju²

¹Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350011, China.

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|March 29, 2023

Summary

This study introduces a hybrid approach using steganography and wavelet transform (WT) for secure medical data storage. The method enhances data privacy and storage efficiency, allowing pharmacologists to store more information securely.

Keywords:

big data data security knight tour lossless compression steganography wavelet transform

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Area of Science:

Medical Informatics
Data Security
Image Processing

Background:

Healthcare data privacy and storage minimization are critical due to technological advancements.
Existing research explores lossless compression and steganography for medical data.
There is a need for enhanced security and optimized storage of large medical image datasets.

Purpose of the Study:

To develop a hybrid approach combining advanced steganography, wavelet transform (WT), and lossless compression for secure medical data storage.
To enhance patient data privacy and optimize storage of large medical images.
To achieve safe storage, fast image service, and minimal computing power.

Main Methods:

A hybrid approach integrating advanced steganography, discrete wavelet transform (DWT), and lossless compression.
Utilizing a knight tour (KT) algorithm for embedding patient data into medical images.
Employing DWT to protect images and lossless packet compression for memory efficiency.

Main Results:

The proposed model achieves higher compression ratios (7.8%-8.6%) and percentages (35%-60%) compared to existing methods.
Achieved compression ratios for high-resolution images were between 7%-7.5%, with percentages between 30%-37%.
Demonstrated improved data security and image quality preservation.

Conclusions:

The hybrid approach effectively enhances medical data security and storage efficiency.
The method allows for storing significantly more data in the same storage space.
Results indicate greater data security without compromising image quality, facilitating easier processing and archiving.