Intellectual Property India Publishes Patent Application for 'Hybrid Deep Learning System For Copy-Move Forgery Detection In Images' Filed by Koneru Lakshmaiah Education Foundation

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062160 A) filed by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, on May 15, for 'hybrid deep learning system for copy-move forgery detection in images.'

Inventor(s) include Ravula Jyothsna; and Nilu Singh.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses a hybrid deep learning-based system (100) for detecting and localizing copy-move forgery in digital images. The system comprises an image input module (102), a preprocessing module (104), a Generative Adversarial Network module (106), a Vision...