PRESERVING AND PROTECTING THE MEDICAL IMAGES USING HISTOGRAM

BY

K PRAGATHI

NITHIN NAYAK H.

CONTENTS OBJECTIVE INTRODUCTION EXISTING SYSTEM METHODOLOGY DATA PROTECTION WITH HISTOGRAM

BASED REVERSIBLE DATA HIDING CONCLUTION

For medical treatments, the grouping of the medical images, corresponding medical records, and the privacy of the patients are crucial requirements for the diagnosis of patient's disease

To retain the validity between images and medical records is an important topic for researches and real applications.

SECURITY

PRIVERCY

OBJECTIVE

To solve the problem in the medical treatment we are using a technique i.e. “REVERSIBAL DATA HIDING”

RDH

INTRODUCTION

In the medical treatments privacy for the patients medical images, medical records are difficult.

To overcome this problem we are using digital rights management (DRM) systems.

PROBLEMS

FILEING SECURITY HACKING

EXISTING SYSTEM

• Medical doctor = medical image + clear. Due to the digital nature and large amount of medical images . Several problems.

1. Patients' privacies need to be preserved.

2. Authentication for the medical images.

PROPOSED SYSTEM

Privacy = secret data + medical image.

The correlation between the medical images and medical records of the same patient should be authenticated

METHODOLOGY

TRANSMITTING END

VIEW OF HISTOGRAM

RECIVING END

DATA PROTECTION WITH HISTOGRAM BASED REVERSIBLE DATA HIDING

IMPROVISATION

Step 1. medical records - binary data.

Step 2.Performing the quad tree decomposition original image.

Step 3.Applying histogram- algorithm

Step 4. Output image delivered.

CONCLUSION In this paper, we discussed the integrity

preservation of medical image, and the data protection and authentication for the medical data. With reversible data hiding, the medical images and medical records of the same patient can be authenticated, and proper treatment can be performed by medical doctors. The proposed scheme issu itable for X-ray or CT medical images, and it has the potential to be integrated into the databases for managing the medical images in the hospital.

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