18456311. IMAGING DEVICE AND IMAGE GENERATION METHOD simplified abstract (Kioxia Corporation)
Contents
- 1 IMAGING DEVICE AND IMAGE GENERATION METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGING DEVICE AND IMAGE GENERATION METHOD - 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
IMAGING DEVICE AND IMAGE GENERATION METHOD
Organization Name
Inventor(s)
Takeshi Yamane of Tsukuba Ibaraki (JP)
IMAGING DEVICE AND IMAGE GENERATION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18456311 titled 'IMAGING DEVICE AND IMAGE GENERATION METHOD
Simplified Explanation
The abstract describes an imaging device that processes image intensity distributions to generate an image of a subject. Here is a simplified explanation of the patent application:
- The imaging device analyzes the detection intensity distribution to determine the intensity of detection with respect to the position coordinates of a stage.
- It calculates the image intensity distribution for each linear pixel by deconvolution from the detection intensity distribution.
- The device generates an image of the subject by arranging the calculated image intensity distributions in the direction of the linear pixels.
Potential Applications
This technology could be applied in medical imaging, surveillance systems, and quality control processes.
Problems Solved
This technology solves the problem of accurately generating images from detection intensity distributions, improving image quality and resolution.
Benefits
The benefits of this technology include enhanced image processing capabilities, improved image clarity, and more accurate representation of subjects.
Potential Commercial Applications
Potential commercial applications of this technology include medical imaging devices, security cameras, and industrial inspection systems.
Possible Prior Art
One possible prior art for this technology could be image processing algorithms used in medical imaging devices or surveillance systems.
Unanswered Questions
How does this technology compare to existing deconvolution methods in terms of speed and accuracy?
This article does not provide a comparison with existing deconvolution methods in terms of speed and accuracy.
What are the limitations of this technology in terms of image size and complexity?
The article does not discuss the limitations of this technology in terms of image size and complexity.
Original Abstract Submitted
An imaging device includes an image processor configured to: i) determine that a detection intensity distribution indicating detection intensity with respect to position coordinates of a stage is a convolution of an image intensity distribution on an extension line of a linear pixel and a window function; (ii) calculate an image intensity distribution for each linear pixel by deconvolution from the detection intensity distribution; and (iii) generate an image of the subject by disposing the image intensity distribution calculated in all the linear pixels in an arrangement direction of the linear pixels.