Kioxia corporation (20240096515). IMAGING DEVICE AND IMAGE GENERATION METHOD simplified abstract
Contents
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 20240096515 titled 'IMAGING DEVICE AND IMAGE GENERATION METHOD
Simplified Explanation
The imaging device described in the patent application is designed to process image data in order to generate an image of a subject. Here is a simplified explanation of the abstract:
- The image processor in the device analyzes the detection intensity distribution to determine the image intensity distribution for each linear pixel.
- By deconvolution, the image intensity distribution for each linear pixel is calculated from the detection intensity distribution.
- The final image of the subject is created by arranging the calculated image intensity distributions of all the linear pixels in the direction of the linear pixels.
Potential Applications: This technology could be used in medical imaging devices to enhance image quality and accuracy in diagnostics. It could also be applied in surveillance systems for improved object detection and tracking.
Problems Solved: This technology solves the problem of accurately reconstructing images from detection intensity distributions, which can be challenging due to noise and other factors affecting image quality.
Benefits: The benefits of this technology include improved image resolution, enhanced image processing capabilities, and more accurate image reconstruction.
Potential Commercial Applications: Commercial applications of this technology could include medical imaging equipment, surveillance systems, and industrial inspection devices.
Possible Prior Art: One possible prior art for this technology could be deconvolution algorithms used in image processing software and devices.
Unanswered Questions: 1. How does this technology handle variations in detection intensity distributions caused by different imaging conditions? 2. Are there any limitations to the size or complexity of the images that can be processed using this technology?
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.
