An efficient data hiding approach on medical image for secrete communication
- Autores: Pallath Mohanakrishnan, Suthendran ., Jarin .
- Localización: Sustainable development in engineering and technology, 2022, ISBN 978-84-124943-4-1, págs. 149-164
- Idioma: inglés
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Resumen
Noise removal is an essential and challenging operation in image processing. Noise isthe random, generally undesirable signal that interferes with the presentation, measurementor transmission of other signals. The Additive White Gaussian Noise andRiccian noise combined together called as mixed noise. The noise removal methodfirst detects the position of noise pixels and then removes mixed noise. Mixed noisesdegraded the quality of the system,we need to remove the mixed noises and alsoencrypt the sensitive information in the medical images also ensures its secure transmissionto meet this objectives we propose kalman filter to remove noises and honeyencryption to hide sensitive information.the advanced encryption method (Honeyencryption) is introduced to protect data stored on password manager services. Thesecurity of honey encryption is based on the fact that the probability that an attackerclassifies plain text as legitimate can be calculated at the time of encryption. Diffie-Hellman key exchange is a digital method that produce decryption key for secret keycryptography. Our method performs well compared to the previous works, Performanceevaluation metrics such as PSNR,SSIM,CNR,IE,MSE shows better results.
