18581818. IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract (TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED)
Contents
- 1 IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - 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 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Image Processing
- 1.13 Original Abstract Submitted
IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Organization Name
TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Inventor(s)
Huanrong Zhang of Shenzhen (CN)
IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18581818 titled 'IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes a method and apparatus for processing images by comparing attributes of a source image with those of an enhanced image, determining fusion weights based on the differences in attributes, and fusing the images to create a final image.
- Obtaining attribute characterizations of a source image and an enhanced image
- Comparing attribute characterizations to identify differences
- Determining local fusion weights based on attribute differences
- Determining enhanced fusion weights for pixel positions in the enhanced image
- Fusing the source image and enhanced image to create a fused image
Key Features and Innovation
- Attribute-based image processing method
- Comparison of attribute characterizations for image enhancement
- Local fusion weights determination based on attribute differences
- Enhanced fusion weights calculation for improved image fusion
Potential Applications
This technology can be used in various applications such as:
- Medical imaging
- Satellite image processing
- Surveillance systems
- Photography enhancement
Problems Solved
- Improved image enhancement techniques
- Enhanced image fusion process
- Better quality images with attribute-based processing
Benefits
- Higher quality fused images
- Enhanced image processing capabilities
- Improved visual representation in various applications
Commercial Applications
- This technology can be utilized in industries such as:
- Medical imaging
- Photography
- Satellite imaging
- Security and surveillance systems
Prior Art
Readers can explore prior art related to attribute-based image processing methods and image fusion techniques in the field of image processing and computer vision.
Frequently Updated Research
Stay updated on the latest research in attribute-based image processing and image fusion techniques to enhance your understanding of this technology.
Questions about Image Processing
How does attribute-based image processing improve image enhancement techniques?
Attribute-based image processing allows for a more detailed comparison of images, leading to better enhancement results by considering specific attributes.
What are the potential applications of attribute-based image processing in different industries?
Attribute-based image processing can be applied in various industries such as medical imaging, satellite imaging, and surveillance systems for improved image quality and analysis.
Original Abstract Submitted
An image processing method and apparatus, the method includes obtaining an attribute characterization of a source image and an attribute characterization of an enhanced image, the enhanced image being obtained by enhancing the source image, comparing the attribute characterization of the source image with the attribute characterization of the enhanced image to obtain attribute differences between at least part of pixel positions in the source image and corresponding at least part of pixel positions in the enhanced image, determining local fusion weights of the at least part of pixel positions in the source image based on the attribute differences and the attribute characterization of the enhanced image, determining enhanced fusion weights of the at least part of pixel positions in the enhanced image, and fusing the source image and the enhanced image to obtain a fused image.
