Samsung electronics co., ltd. (20240202874). BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS simplified abstract
Contents
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 20240202874 titled 'BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS
The method described in the patent application involves analyzing input image frames captured under different conditions to identify and correct bad pixels. Here is a simplified explanation of the abstract:
- Obtaining input image frames captured under different conditions.
- Separating color channels of each image frame.
- Generating bad pixel maps for each color channel by identifying outliers in pixel values.
- Combining and refining the bad pixel maps using morphological operations.
- Updating pixel values of the image frames based on the refined bad pixel map.
Key Features and Innovation: - Analysis of image frames captured under different conditions. - Identification and correction of bad pixels in color channels. - Refinement of bad pixel maps using morphological operations. - Updating pixel values based on the refined bad pixel map.
Potential Applications: - Image processing in digital cameras. - Quality control in manufacturing processes. - Medical imaging for diagnostics.
Problems Solved: - Correcting bad pixels in image frames. - Improving image quality and accuracy. - Enhancing the performance of image processing algorithms.
Benefits: - Enhanced image quality. - Improved accuracy in image analysis. - Increased reliability of image processing systems.
Commercial Applications: Title: "Advanced Image Processing Technology for Quality Control in Manufacturing" Description: This technology can be utilized in manufacturing processes to ensure product quality and consistency, leading to cost savings and improved efficiency in production.
Questions about the technology: 1. How does this method improve the accuracy of image analysis? 2. What are the potential implications of using this technology in medical imaging?
Frequently Updated Research: Stay updated on advancements in image processing algorithms and techniques for improving image quality and accuracy.
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.
