Samsung electronics co., ltd. (20240135494). METHOD AND DEVICE FOR CORRECTING LIGHTING OF IMAGE simplified abstract
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 20240135494 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 image is processed by a first neural network to generate predicted lighting data and embedding data.
- Predicted lighting data, embedding data, and sensor data are input to a second neural network to generate a lighting weight.
- Correction lighting data is generated by applying the lighting weight to preset basis lighting data of the input image.
Potential Applications
This technology could be applied in various fields such as photography, image editing software, and computer vision systems.
Problems Solved
This technology addresses the issue of incorrect or poor lighting in images, improving the overall quality and appearance of the images.
Benefits
The method provides a more efficient and automated way to correct lighting in images, saving time and effort for users. It also enhances the visual appeal of images.
Potential Commercial Applications
- "Enhancing Image Lighting Using Neural Networks" - This technology can be utilized in commercial photography studios, image editing software companies, and computer vision technology firms.
Possible Prior Art
One possible prior art could be traditional image editing software that offers manual lighting correction tools. However, the use of neural networks for automated lighting correction is a novel approach in this field.
Unanswered Questions
How does this method compare to traditional manual lighting correction techniques?
This article does not provide a direct comparison between this automated method and traditional manual lighting correction techniques. It would be interesting to know the efficiency and accuracy of this method compared to manual techniques.
What are the potential limitations of using neural networks for lighting correction in images?
The article does not discuss any potential limitations or challenges that may arise when using neural networks for lighting correction. It would be important to understand any drawbacks or constraints of this technology.
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.
