Nvidia corporation (20240196105). FALLBACK MECHANISM FOR AUTO WHITE BALANCING simplified abstract
Contents
FALLBACK MECHANISM FOR AUTO WHITE BALANCING
Organization Name
Inventor(s)
Douglas Taylor of Santa Clara CA (US)
Animesh Khemka of Fremont CA (US)
Eric Dujardin of San Jose CA (US)
FALLBACK MECHANISM FOR AUTO WHITE BALANCING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240196105 titled 'FALLBACK MECHANISM FOR AUTO WHITE BALANCING
Simplified Explanation: The patent application discusses improved fallback mechanisms for auto white balancing, where correction factors from two different techniques are blended based on confidence levels.
Key Features and Innovation:
- Blending correction factors from two white balance techniques based on confidence levels.
- Enhancing the accuracy and reliability of auto white balancing.
- Providing a more robust white balance correction process.
Potential Applications: This technology can be applied in:
- Photography and videography equipment.
- Image processing software.
- Medical imaging devices.
- Security cameras.
Problems Solved:
- Inconsistencies in white balance correction.
- Lack of reliability in auto white balancing.
- Limited adaptability to different lighting conditions.
Benefits:
- Improved color accuracy in images and videos.
- Enhanced overall image quality.
- Increased user satisfaction with auto white balancing features.
Commercial Applications: Title: Enhanced Auto White Balancing Technology for Imaging Devices This technology can be utilized in various commercial applications such as:
- Camera manufacturing companies.
- Software development firms.
- Medical equipment manufacturers.
- Surveillance system providers.
Prior Art: Readers can explore prior art related to this technology in patents and research papers on auto white balancing techniques, color correction algorithms, and image processing methods.
Frequently Updated Research: Stay updated on the latest advancements in auto white balancing technologies, color correction algorithms, and image processing techniques to enhance the performance of this innovation.
Questions about Auto White Balancing Technology: 1. What are the key challenges faced in auto white balancing technology? 2. How does blending correction factors from multiple techniques improve white balance accuracy and reliability?
1. A relevant generic question not answered by the article, with a detailed answer. - How does this technology compare to traditional manual white balancing methods? - Manual white balancing methods require users to adjust color temperature settings manually, which can be time-consuming and may not always result in accurate color reproduction. In contrast, auto white balancing technology automates this process, making it more convenient and efficient for users.
2. Another relevant generic question, with a detailed answer. - What are the potential limitations of auto white balancing technology? - Auto white balancing technology may face challenges in accurately correcting white balance under extreme lighting conditions or with complex color casts. Additionally, the blending of correction factors from different techniques may introduce complexities in the calibration process, requiring careful optimization to achieve optimal results.
Original Abstract Submitted
improved fallback mechanisms for auto white balancing are presented. in at least one embodiment, white balance correction factors produced by a first white balance technique are blended with white balance correction factors produced by a second white balance technique based on a confidence level in the white balance correction factors produced by the first white balance technique.
