Qualcomm incorporated (20240187712). SYSTEMS AND METHODS OF IMAGING WITH MULTI-DOMAIN IMAGE SENSOR simplified abstract
Contents
- 1 SYSTEMS AND METHODS OF IMAGING WITH MULTI-DOMAIN IMAGE SENSOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS OF IMAGING WITH MULTI-DOMAIN IMAGE SENSOR - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEMS AND METHODS OF IMAGING WITH MULTI-DOMAIN IMAGE SENSOR
Organization Name
Inventor(s)
Yun-Chieh Chang of San Diego CA (US)
Xiaoyun Jiang of San Diego CA (US)
Hyung Cook Kim of San Diego CA (US)
SYSTEMS AND METHODS OF IMAGING WITH MULTI-DOMAIN IMAGE SENSOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240187712 titled 'SYSTEMS AND METHODS OF IMAGING WITH MULTI-DOMAIN IMAGE SENSOR
Simplified Explanation
The abstract describes an imaging system that processes image data from a scene to enhance image quality. Here are the key points:
- The imaging system analyzes image data from different electromagnetic frequency domains.
- It reduces noise and improves image quality by adjusting pixel values based on cross-domain contamination values.
- The system enhances luminance and signal-to-noise ratio by adjusting pixel values using luminance adjustment values.
- The final output is an image with improved quality.
Potential Applications
This technology can be applied in various fields such as medical imaging, surveillance systems, satellite imaging, and photography.
Problems Solved
1. Noise reduction and enhancement of image quality. 2. Improvement of luminance and signal-to-noise ratio in images.
Benefits
1. Enhanced image quality. 2. Improved visibility of details in images. 3. Reduction of noise for clearer images.
Potential Commercial Applications
"Enhanced Imaging System for Various Industries"
Possible Prior Art
There may be prior art related to image processing techniques, noise reduction algorithms, and signal enhancement methods in the field of imaging technology.
Unanswered Questions
How does this technology compare to existing noise reduction methods in terms of effectiveness and efficiency?
The article does not provide a direct comparison with existing noise reduction methods, leaving a gap in understanding the technology's competitive advantage.
What are the limitations of this imaging system in terms of processing speed and compatibility with different image sensors?
The article does not address the potential limitations of the imaging system, which could impact its practical application in real-world scenarios.
Original Abstract Submitted
imaging systems and techniques are described. an imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (em) frequency domain and a second plurality of pixel values corresponding to a second em frequency domain. the imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values the imaging system increases a luminance (and/or a snr) of the third plurality of pixel values using a plurality of luminance adjustment values (that are based on the second plurality of pixel values) to generate a fourth plurality of pixel values. the imaging system outputs an image that includes the fourth plurality of pixel values.
