Neural network based insertion of watermark into images and tampering detection thereof

US10902543B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Krishna Rao Kakkirala · Polavaram, IN
• Srinivasa Rao Chalamala · Hyderabad, IN
• Bala Mallikarjunarao Garlapati · Hyderabad, IN
• Balakrishna Gudla · Hyderabad, IN
• Santosh Kumar Jami · Hyderabad, IN
• Arun Kumar Jindal · Pune, IN
• Ajeet Singh · Saratoga, US

Key dates

• Filing date: Mar 14, 2019
• Grant date: Jan 26, 2021
• Expiry date: May 9, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2201/0201
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods for insertion of a watermark into images and tampering detection of the watermarked images by a Convolutional Neural Network (CNN) technique. The traditional systems and methods provide for detecting the tampering of the watermarked images by simply identifying a presence of an inserted watermark into an image but none them provide for inserting a random sequence into input image(s) and then detect the tampering by classifying the input image(s) by a neural network. Embodiments of the present disclosure provide for insertion of the watermark into the input image(s) and tampering detection of the watermarked images by training a Convolutional Neural Network (CNN) 201 to classify the images as tampered or non-tampered, extracting random noise, obtaining non-classified watermarked images from the random noise, and obtaining, from the non-classified watermarked images, classified watermarked images and detecting an absence or a presence of the tampering based upon the classified watermarked images.