18511831. PHOTOELECTRIC CONVERSION APPARATUS simplified abstract (CANON KABUSHIKI KAISHA)
Contents
PHOTOELECTRIC CONVERSION APPARATUS
Organization Name
Inventor(s)
Masahiro Kobayashi of Tokyo (JP)
PHOTOELECTRIC CONVERSION APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18511831 titled 'PHOTOELECTRIC CONVERSION APPARATUS
Simplified Explanation
The photoelectric conversion apparatus described in the patent application consists of two photoelectric conversion units, each with its own corresponding filter and processing unit with a learned model.
- The apparatus has a first filter for the first photoelectric conversion unit and a second filter for the second photoelectric conversion unit.
- A first processing unit processes the output signal from the first unit using a first learned model.
- A second processing unit processes the output signal from the second unit using a second learned model different from the first.
Potential Applications
The technology described in this patent application could be used in:
- Solar panels
- Digital cameras
- Optical sensors
Problems Solved
This technology helps in:
- Improving the efficiency of photoelectric conversion
- Enhancing the accuracy of signal processing
- Reducing noise interference in photoelectric devices
Benefits
The benefits of this technology include:
- Increased energy conversion efficiency
- Enhanced image quality in digital photography
- Improved performance of optical sensors
Original Abstract Submitted
A photoelectric conversion apparatus has a first filter arranged so as to correspond to a first photoelectric conversion unit and a second filter arranged so as to correspond to a second photoelectric conversion unit. The photoelectric conversion apparatus has a first processing unit configured to process an output signal from the first photoelectric conversion unit and having a first learned model, and a second processing unit configured to process an output signal from the second photoelectric conversion unit and having a second learned model different from the first learned model.
