US Patent Application 18233685. CUSTOMIZED IMAGE REPROCESSING SYSTEM USING A MACHINE LEARNING MODEL simplified abstract
Contents
CUSTOMIZED IMAGE REPROCESSING SYSTEM USING A MACHINE LEARNING MODEL
Organization Name
Inventor(s)
Newar Husam Al Majid of New York NY (US)
Christine Barron of Los Angeles CA (US)
Ryan Chan of Los Angeles CA (US)
Bertrand Saint-preux of Hollywood FL (US)
Shoshana Sternstein of Great Neck NY (US)
CUSTOMIZED IMAGE REPROCESSING SYSTEM USING A MACHINE LEARNING MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18233685 titled 'CUSTOMIZED IMAGE REPROCESSING SYSTEM USING A MACHINE LEARNING MODEL
Simplified Explanation
- This patent application addresses the problem of automatically reprocessing images captured by a camera to produce personalized results. - The innovation is a customized image reprocessing system powered by machine learning techniques. - The system can automatically reprocess images on a pixel level using a machine learning model. - The machine learning model takes the image's pixel values, sensor data detected by the camera's digital sensor at the time of capture, and flash calibration parameters generated for that specific user as input. - The system aims to provide personalized and customized image reprocessing based on individual user preferences and characteristics.
Original Abstract Submitted
The technical problem of automatically reprocessing an image captured by a camera in a manner that produces a personalized result is addressed by providing a customized image reprocessing system powered by machine learning techniques. The customized image reprocessing system is configured to automatically reprocess an image on a pixel level using a machine learning model that takes, as input, the image represented by pixel values, sensor data detected by the digital sensor of a camera at the time the image was captured, and, also, flash calibration parameters previously generated for that specific user.
