Samsung electronics co., ltd. (20240112440). METHOD AND APPARATUS FOR PROCESSING ARRAY IMAGE simplified abstract
Contents
- 1 METHOD AND APPARATUS FOR PROCESSING ARRAY IMAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR PROCESSING ARRAY 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 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD AND APPARATUS FOR PROCESSING ARRAY IMAGE
Organization Name
Inventor(s)
Byong Min Kang of Suwon-si (KR)
Dong Kyung Nam of Suwon-si (KR)
METHOD AND APPARATUS FOR PROCESSING ARRAY IMAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240112440 titled 'METHOD AND APPARATUS FOR PROCESSING ARRAY IMAGE
Simplified Explanation
The patent application describes a method and apparatus for array image processing, specifically for generating a single view image from multiple sub images captured by an array lens. The method involves various steps such as generating temporary restored images, determining matching information using a neural network model, extracting refinement targets, refining the matching information through local search, and finally merging the temporary restored images to generate the output image.
- Receiving sub images from different views of an input array image
- Generating temporary restored images based on sub images using gradients
- Determining matching information based on view difference using a neural network model
- Extracting refinement targets from matching pairs
- Refining matching information through local search
- Merging temporary restored images to generate a single view output image
Potential Applications
This technology can be applied in various fields such as medical imaging, surveillance systems, autonomous vehicles, and virtual reality.
Problems Solved
This technology solves the problem of generating a single view image from multiple sub images captured by an array lens, improving image quality and accuracy.
Benefits
The benefits of this technology include enhanced image processing capabilities, improved image restoration, and better visualization of array image data.
Potential Commercial Applications
Potential commercial applications of this technology include camera systems, security surveillance, medical imaging devices, and virtual reality systems.
Possible Prior Art
One possible prior art for this technology could be image stitching algorithms used in panoramic photography to merge multiple images into a single panoramic view.
Unanswered Questions
How does this technology handle noise and distortion in the input array images?
The patent application does not provide specific details on how noise and distortion in the input array images are addressed during the image processing.
What computational resources are required to implement this method?
The patent application does not mention the computational resources or hardware specifications needed to implement the array image processing method.
Original Abstract Submitted
a method and apparatus for array image processing are provided. the method includes receiving sub images corresponding to different views of an input array image generated through an array lens, generating temporary restored images based on the sub images using a gradient between neighboring pixels of each of the sub images, determining matching information based on a view difference between pixels of the sub images using a neural network model, based on a pixel distance between matching pairs of the pixels of the sub images using the matching information, extracting refinement targets from the matching pairs, refining the matching information by replacing at least some of target pixels included in the refinement targets based on a local search of a region based on pixel locations of the refinement targets, and generating an output image of a single view by merging the temporary restored images based on the refined matching information.
