Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 34 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 27 tok/s Pro
GPT-5 High 30 tok/s Pro
GPT-4o 80 tok/s Pro
Kimi K2 198 tok/s Pro
GPT OSS 120B 461 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

Block Based Medical Image Watermarking Technique for Tamper Detection and Recovery (1412.6143v1)

Published 17 Nov 2014 in cs.MM and cs.CR

Abstract: In this paper, we propose a novel fragile block based medical image watermarking technique for embedding data of patient into medical image, verifying the integrity of ROI (Region of Interest), detecting the tampered blocks inside ROI and recovering original ROI with less size authentication and recovery data and with simple mathematical calculations. In the proposed method, the medical image is divided into three regions called ROI, RONI (Region of Non Interest) and border pixels. Later, authentication data of ROI and Electronic Patient Record (EPR) are compressed using Run Length Encoding (RLE) technique and then embedded into ROI. Recovery information of ROI is embedded inside RONI and information of ROI is embedded inside border pixels. Results of experiments conducted on several medical images reveal that proposed method produces high quality watermarked medical images, identifies tampered areas inside ROI of watermarked medical images and recovers the original ROI.

Citations (10)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.