Canon kabushiki kaisha (20240163577). PHOTOELECTRIC CONVERSION APPARATUS, METHOD FOR CONTROLLING PHOTOELECTRIC CONVERSION APPARATUS, AND STORAGE MEDIUM simplified abstract
Contents
- 1 PHOTOELECTRIC CONVERSION APPARATUS, METHOD FOR CONTROLLING PHOTOELECTRIC CONVERSION APPARATUS, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PHOTOELECTRIC CONVERSION APPARATUS, METHOD FOR CONTROLLING PHOTOELECTRIC CONVERSION APPARATUS, AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PHOTOELECTRIC CONVERSION APPARATUS, METHOD FOR CONTROLLING PHOTOELECTRIC CONVERSION APPARATUS, AND STORAGE MEDIUM
Organization Name
Inventor(s)
PHOTOELECTRIC CONVERSION APPARATUS, METHOD FOR CONTROLLING PHOTOELECTRIC CONVERSION APPARATUS, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240163577 titled 'PHOTOELECTRIC CONVERSION APPARATUS, METHOD FOR CONTROLLING PHOTOELECTRIC CONVERSION APPARATUS, AND STORAGE MEDIUM
Simplified Explanation
The photoelectric conversion apparatus described in the abstract includes a photoelectric conversion element with avalanche photodiodes arranged in a pixel area, a processor, and a memory storing instructions for image generation, crosstalk analysis, correction information generation, and image correction.
- The photoelectric conversion element consists of avalanche photodiodes arranged in a pixel area.
- The processor reads signals from two different pixel groups simultaneously and generates an image based on these signals.
- The memory stores instructions for analyzing crosstalk between pixels, generating correction information, and correcting the image using this information.
Potential Applications
This technology could be applied in digital cameras, medical imaging devices, and security systems.
Problems Solved
This technology addresses the issue of crosstalk between pixels in a photoelectric conversion element, improving image quality and accuracy.
Benefits
The benefits of this technology include enhanced image quality, reduced noise, and improved overall performance of photoelectric conversion elements.
Potential Commercial Applications
The potential commercial applications of this technology could include high-end digital cameras, medical imaging equipment, and surveillance systems.
Possible Prior Art
One possible prior art for this technology could be the use of avalanche photodiodes in photoelectric conversion elements for improved sensitivity and signal-to-noise ratio.
Unanswered Questions
How does this technology compare to traditional pixel arrangement methods in terms of image quality and performance?
This article does not provide a direct comparison between this technology and traditional pixel arrangement methods. Further research or testing may be needed to determine the advantages and limitations of this approach.
What are the potential limitations or challenges in implementing this technology on a larger scale?
The article does not address potential challenges or limitations in scaling up this technology for mass production or commercial use. Factors such as cost, manufacturing complexity, and compatibility with existing systems could be important considerations.
Original Abstract Submitted
a photoelectric conversion apparatus includes a photoelectric conversion element including a pixel area where a plurality of pixels composed of avalanche photodiodes for photoelectrically converting an optical image is two-dimensionally arranged, the photoelectric conversion element being configured to simultaneously read signals from a first pixel group and a second pixel group in the pixel area, at least one processor, and a memory coupled to the at least one processor, the memory storing instructions that, when executed by the at least one processor, cause the at least one processor to generate an image based on the read signals, acquire characteristic information regarding crosstalk between the plurality of pixels, generate correction information based on the characteristic information, and perform a correction process on the image using the correction information. correction information different between the first and second pixel groups is generated.
