MUMBAI, India, Sept. 26 -- Intellectual Property India has published a patent application (202421023205 A) filed by G. H. Raisoni College Of Engineering; and G. H. R. Labs And Research Centre, Nagpur, Maharashtra, on March 24, 2024, for 'a system for improving image and video quality.'
Inventor(s) include Dubey, Aditya; Kundley, Abhishek; Parashar, Jeet; and Tiwari, Arjun.
The application for the patent was published on Sept. 26, under issue no. 39/2025.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system for improving image and video quality. An innovative approach to enhancing the quality of low-resolution films by leveraging advanced deep learning techniques, specifically Residual Networks (ResNets) and Generative Adversarial Networks (GANs). Through this method, the system aims to address common issues such as low resolution, noise, and visual degradation in video content. By employing ResNets for initial augmentation and GANs for refined reconstruction, the system strives to produce visually appealing and high-quality video material suitable for diverse industries, including entertainment, surveillance, healthcare, and education. The research encompasses extensive experimentation, including model development, training, evaluation, and deployment, with the overarching goal of advancing video enhancement technology and facilitating its practical application in real-world scenarios. This invention presents a promising framework for enhancing low-resolution videos, demonstrating the effectiveness of deep learning methodologies in overcoming challenges associated with video quality enhancement."
Disclaimer: Curated by HT Syndication.
