18339838. SYSTEM AND PLATFORM FOR AUTOMATIC OPTIMIZATION OF IMAGE QUALITY OF IMAGE SENSOR AND OPERATING METHOD THEREOF simplified abstract (Samsung Electronics Co., Ltd.)
SYSTEM AND PLATFORM FOR AUTOMATIC OPTIMIZATION OF IMAGE QUALITY OF IMAGE SENSOR AND OPERATING METHOD THEREOF
Organization Name
Inventor(s)
Young Hoon Kim of SUWON-SI (KR)
Da Gyeom Hong of SUWON-SI (KR)
SYSTEM AND PLATFORM FOR AUTOMATIC OPTIMIZATION OF IMAGE QUALITY OF IMAGE SENSOR AND OPERATING METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18339838 titled 'SYSTEM AND PLATFORM FOR AUTOMATIC OPTIMIZATION OF IMAGE QUALITY OF IMAGE SENSOR AND OPERATING METHOD THEREOF
Simplified Explanation
The patent application describes a system for automatically optimizing the image quality of an image sensor by generating a database of image tuning knowledge, creating machine learning models for each image, and adjusting parameters based on user preferences and the machine learning model.
- Image learning data generation unit creates an image tuning knowledge database
- Image signal processor modeling unit generates machine learning models for each image
- Image sensor image quality optimization unit adjusts parameters based on user preferences and machine learning model
- Image quality evaluation scores are produced by a distributed camera simulation system
- Potential Applications:**
- Consumer electronics industry for smartphones, digital cameras, and other devices with image sensors - Surveillance systems for security and monitoring purposes - Medical imaging equipment for improved diagnostic accuracy
- Problems Solved:**
- Inconsistencies in image quality due to manual adjustments - Time-consuming process of optimizing image quality for each image - Lack of personalized image quality settings for users
- Benefits:**
- Consistent and optimized image quality for all images - Automated process saves time and effort for users - Personalized image quality settings improve user experience and satisfaction
Original Abstract Submitted
A system of automatic optimization of image quality of an image sensor includes an image learning data generation unit generating an image tuning knowledge database, which includes pairs of a plurality of sets of values of a plurality of parameters and a plurality of sets of image quality evaluation scores for a plurality of image quality evaluation items for evaluating a quality of each of a plurality of images generated by the image sensor, using an image tuning database sampling module, an image signal processor modeling unit generating a machine learning model, for each image, for automatically optimizing the quality of each image, and an image sensor image quality optimization unit automatically controlling values of some of the plurality of parameters based on a user's image quality selection and the machine learning model. The image quality evaluation scores are produced by a distributed camera simulation system including servers.
