18300095. METHOD AND DEVICE FOR CORRECTING LIGHTING OF IMAGE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 METHOD AND DEVICE FOR CORRECTING LIGHTING OF IMAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE FOR CORRECTING LIGHTING OF IMAGE - 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 Original Abstract Submitted
METHOD AND DEVICE FOR CORRECTING LIGHTING OF IMAGE
Organization Name
Inventor(s)
Jaehyoung Yoo of Suwon-si (KR)
Hyong Euk Lee of Suwon-si (KR)
METHOD AND DEVICE FOR CORRECTING LIGHTING OF IMAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18300095 titled 'METHOD AND DEVICE FOR CORRECTING LIGHTING OF IMAGE
Simplified Explanation
The abstract describes a method for correcting the lighting of an image using neural networks.
- Input an image into a first neural network to generate predicted lighting data and embedding data.
- Input the predicted lighting data, embedding data, and sensor data into a second neural network to generate a lighting weight.
- Generate correction lighting data for the input image by applying the lighting weight to preset basis lighting data.
Potential Applications
This technology could be applied in various fields such as photography, image editing software, and computer vision systems.
Problems Solved
1. Correcting lighting issues in images without manual intervention. 2. Enhancing the overall quality and appearance of images through automated processes.
Benefits
1. Improved image quality and aesthetics. 2. Time-saving by automating the lighting correction process. 3. Consistent results across different images.
Potential Commercial Applications
"Automated Image Lighting Correction Technology for Photography and Image Editing Software"
Possible Prior Art
There are existing methods for image enhancement and correction using neural networks, but this specific approach of correcting lighting in images may be novel.
What are the potential limitations of this technology in real-world applications?
How does this technology compare to traditional methods of image lighting correction?
Original Abstract Submitted
A method, implemented by a processor, of correcting lighting of an image includes inputting an input image to a first neural network and generating predicted lighting data corresponding to lighting of the input image and embedding data corresponding to a feature of the input image, inputting the generated predicted lighting data, the generated embedding data, and sensor data to a second neural network and generating a lighting weight corresponding to the input image, and generating correction lighting data for the input image by applying the generated lighting weight to preset basis lighting data corresponding to the input image.
