MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114099 A) filed by Integral University, Lucknow, Uttar Pradesh, on Nov. 20, 2025, for 'an adaptive multi-modal digital image processing system with real-time context-aware enhancement and predictive feature extraction.'
Inventor(s) include Tasneem Ahmed; and Mohammad Faisal.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Disclosed herein is an adaptive multi-modal digital image processing system with real-time context-aware enhancement and predictive feature extraction (100) comprises a multi-modal data fusion engine (102) that integrates heterogeneous sensor data. An adaptive context-aware enhancement module (104) dynamically optimizes contrast, illumination, and noise filtering. A predictive feature extraction module (106) employs AI models to prioritize salient regions, while a noise-resilient multi-scale filtering unit (108) performs sensor-specific denoising. An intelligent edge and texture enhancement engine (110) refines fine details using neural-network-guided spatial-frequency filtering. A scene-adaptive segmentation engine (112) divides fused images into contextual regions. A real-time predictive object tracking module (114) ensures continuous tracking of dynamic objects, supported by a dynamic compression and transmission module (116) for efficient streaming. An anomaly detection module (118) identifies scene abnormalities, and an explainable AI image analytics module (120) provides interpretable visual reasoning for operator validation."
Disclaimer: Curated by HT Syndication.
