17987609. IMAGE PROCESSING METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM simplified abstract (Samsung Electronics Co., Ltd.)
IMAGE PROCESSING METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM
Organization Name
Inventor(s)
Jianxing Zhang of Beijing (CN)
IMAGE PROCESSING METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17987609 titled 'IMAGE PROCESSING METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM
Simplified Explanation
The abstract describes an image processing method that involves acquiring multiple channel images of an image, determining the noise intensity for each channel image, denoising the image based on the noise intensity, and obtaining the denoised image.
- Acquire multiple channel images of the image to be processed
- Determine the noise intensity for each channel image
- Denoise the image based on the noise intensity of each channel image
- Obtain the denoised image
Potential Applications
- Image processing and enhancement in various industries such as photography, medical imaging, and surveillance
- Improving image quality in low-light conditions or high-noise environments
- Enhancing image details and reducing noise in digital cameras or smartphones
Problems Solved
- Addressing the issue of noise in images, which can degrade image quality and affect visual interpretation
- Providing a method to effectively denoise images based on the noise intensity of each channel image
- Improving the accuracy and efficiency of image processing algorithms by considering noise characteristics
Benefits
- Improved image quality by reducing noise and preserving important details
- Enhanced visual interpretation and analysis of images
- Increased accuracy and efficiency in image processing algorithms
- Potential for better performance in various applications, such as medical diagnosis or object recognition
Original Abstract Submitted
Provided is an image processing method to process an image, the method including acquiring a plurality of channel images of the image to be processed, acquiring a noise intensity corresponding to the each of the plurality of channel images of the image to be processed, denoising the image to be processed based on the noise intensity corresponding to the each of the plurality of channel images of the image, and obtaining the denoised image.
