17700932. METHOD AND APPARATUS WITH NOISE CONSIDERATION simplified abstract (Samsung Electronics Co., Ltd.)
Contents
METHOD AND APPARATUS WITH NOISE CONSIDERATION
Organization Name
Inventor(s)
Jae Seok Choi of Yongin-si (KR)
HYONG EUK Lee of Suwon-si (KR)
METHOD AND APPARATUS WITH NOISE CONSIDERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17700932 titled 'METHOD AND APPARATUS WITH NOISE CONSIDERATION
Simplified Explanation
The patent application describes a method and apparatus for image enhancement considering noise. Here are the key points:
- The method involves generating a non-normal noise map for an input image using a noise model.
- An image enhancement model is then applied to the input image and the non-normal noise map to generate an enhanced image.
- The input image has noise that follows a non-normal distribution.
Potential applications of this technology:
- Image processing and enhancement in various fields such as photography, medical imaging, surveillance, etc.
- Improving the quality and clarity of images in low-light or noisy environments.
- Enhancing images captured by digital cameras, smartphones, or other imaging devices.
Problems solved by this technology:
- Traditional image enhancement techniques often assume that noise follows a normal distribution, which may not be accurate in real-world scenarios.
- This technology addresses the issue of non-normal noise distribution by incorporating a noise model and generating a non-normal noise map.
- By considering the non-normal noise distribution, the method can provide more accurate and effective image enhancement.
Benefits of this technology:
- Improved image quality by considering the actual noise distribution in the input image.
- Enhanced images with reduced noise artifacts and improved details.
- More accurate and reliable image enhancement results compared to traditional methods.
- Can be applied to a wide range of images and imaging devices.
Original Abstract Submitted
A method and apparatus with noise consideration are provided. The method includes generating, using a noise model, a non-normal noise map corresponding to a noise of an input image, and generating an enhanced image of the input image by implementing an image enhancement model based on the input image and the non-normal noise map, where the noise of the input image follows a non-normal distribution.