• Pendyala Lakshmi Harika
• Peddisetti Ahitha
• Lankenapalli Saisree
• Pillarisetty Anvika
• Mrs. Indla Divya

The main objective behind developing this system is for medical image forgery detection for health care using novel approach called feature descriptor points and feature transform, noise map and multi-resolution regression process. Next generation network technologies such as fifth generation (5G), edge computing, and cloud computing have revolutionized many sectors including the healthcare sector. Recently, the healthcare sector has seen drastic improvement in terms of facilities. Many new features have been added to improve people’s satisfaction. People can now consult with doctors without visiting them, check diabetes, heartbeat, voice abnormality, and emotion using various sensors. While the healthcare sector is booming, several aspects need attention to make the healthcare facility more secure and private. With the invention of new communication technologies, new features and facilities are provided in a smart healthcare framework. The features and facilities aim to provide a seamless, easy-to-use, accurate, and real-time healthcare service to clients. As health is a sensitive issue, it should be taken care of with utmost security and caution. This project was proposed a novel approach for medical image forgery detection for health care using noise map and multi-resolution regression process.

Feature Descriptor Points, Feature Transform, Noise Map, Multi-resolution regression filter

"Medical Image Forgery Detection for Smart Healthcare", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.214-221, June-2024, Available :http://www.jetir.org/papers/JETIRGJ06034.pdf

"Medical Image Forgery Detection for Smart Healthcare", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp214-221, June-2024, Available at : http://www.jetir.org/papers/JETIRGJ06034.pdf