18068916. BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS
Organization Name
Inventor(s)
Madhuri Suthar of Pasadena CA (US)
Tyler Luu of Richardson TX (US)
Nguyen Thang Long Le of Garland TX (US)
John W. Glotzbach of Allen TX (US)
Hamid R. Sheikh of Allen TX (US)
BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18068916 titled 'BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS
Simplified Explanation
The method described in the patent application involves analyzing input image frames captured under different conditions to identify and correct bad pixels in the images.
- Obtaining input image frames captured under different conditions
- Separating color channels of each image frame
- Generating bad pixel maps for each color channel based on intensity distribution
- Combining and refining the bad pixel maps
- Updating pixel values in the image frames using the refined bad pixel map
Key Features and Innovation
- Analysis of input image frames captured under different conditions
- Identification of bad pixels in color channels based on intensity distribution
- Combination and refinement of bad pixel maps
- Updating pixel values in image frames to correct bad pixels
Potential Applications
This technology can be used in various industries such as photography, medical imaging, and surveillance for improving image quality by correcting bad pixels.
Problems Solved
The technology addresses the issue of bad pixels in images captured under different conditions, ensuring better image quality and accuracy.
Benefits
- Improved image quality
- Enhanced accuracy in image processing
- Corrected bad pixels for better overall performance
Commercial Applications
- Photography equipment manufacturers
- Medical imaging device companies
- Surveillance camera manufacturers
Questions about the Technology
How does this technology improve image quality?
This technology improves image quality by identifying and correcting bad pixels in captured images, leading to more accurate and clear visuals.
What are the potential applications of this technology beyond image processing?
The technology can also be applied in fields such as satellite imaging, scientific research, and industrial inspections for enhancing image accuracy and quality.
Original Abstract Submitted
A method includes obtaining input image frames, including at least two captured using different capture conditions. The method also includes separating color channels of each image frame and generating at least one bad pixel map for each color channel of each image frame. Each bad pixel map is generated by identifying one or more outliers in pixel values in the color channel based on an intensity distribution of pixel values in an operation window within the color channel. The operation window has a window size based on the capture condition and/or local image content in the corresponding image frame. The method further includes combining the bad pixel maps and performing a morphological operation to refine the combined bad pixel map. In addition, the method includes using one or more coordinates of one or more bad pixels in the refined bad pixel map to update one or more pixel values of at least one image frame.
