17973809. METHOD AND APPARATUS WITH IMAGE DEBLURRING simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
METHOD AND APPARATUS WITH IMAGE DEBLURRING
Organization Name
Inventor(s)
METHOD AND APPARATUS WITH IMAGE DEBLURRING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17973809 titled 'METHOD AND APPARATUS WITH IMAGE DEBLURRING
Simplified Explanation
The patent application describes a method and apparatus for image deblurring. Here is a simplified explanation of the abstract:
- The method starts by generating a primary feature representation for a specific blurry point in an input image.
- Offset information is then generated for similar points to the blurry point by encoding the input image using an encoding model.
- Secondary feature representations are generated for the similar points by applying the offset information to the primary feature representation.
- Finally, an output image is generated using the secondary feature representations and the offset information by implementing an implicit function model.
Potential applications of this technology:
- Image deblurring in photography and video editing software.
- Enhancing the quality of images captured in low-light conditions or with shaky hands.
- Improving the readability of text in blurred images.
Problems solved by this technology:
- Blurry images can be difficult to interpret and may lack detail. This technology helps to restore clarity and sharpness to such images.
- It addresses the challenge of deblurring images without introducing artifacts or noise.
Benefits of this technology:
- Improved image quality and visual appeal.
- Enhanced ability to analyze and interpret blurry images.
- Time and cost savings by automating the image deblurring process.
Original Abstract Submitted
An image deblurring method and apparatus are provided. The image deblurring method includes generating a primary feature representation on a first blur point in an input image and offset information on similar points of the first blur point by encoding the input image by implementing an encoding model, generating secondary feature representations on the similar points by applying the offset information to the primary feature representation, and generating an output image, based on the secondary feature representations and the offset information, by implementing an implicit function model.
