Samsung electronics co., ltd. (20240179428). COMPENSATION OF IMAGING SENSOR simplified abstract
COMPENSATION OF IMAGING SENSOR
Organization Name
Inventor(s)
EVGENY Soloveichik of TEL-AVIV (IL)
NATAN Bibelnik of TEL-AVIV (IL)
COMPENSATION OF IMAGING SENSOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240179428 titled 'COMPENSATION OF IMAGING SENSOR
Simplified Explanation
The abstract of the patent application describes an image processing unit that utilizes an artificial neural network to predict and correct errors in pixel values of an image output by an imaging sensor.
- The image processing unit includes an imaging sensor with a pixel array.
- The unit has a memory storing an artificial neural network (ANN).
- An image signal processor operates the ANN on the image output by the imaging sensor to predict an error value of a pixel and correct it using the predicted error value.
Potential Applications
This technology could be applied in:
- Image enhancement in digital cameras
- Medical imaging for error correction in diagnostic images
- Quality control in manufacturing processes
Problems Solved
- Correcting errors in pixel values of images
- Enhancing image quality through error prediction and correction
Benefits
- Improved image quality
- Enhanced accuracy in image processing
- Increased efficiency in error correction
Potential Commercial Applications
Optimized for SEO: "Artificial Neural Network Image Processing Unit Commercial Applications"
- Consumer electronics industry
- Healthcare sector for medical imaging devices
- Manufacturing industry for quality control processes
Possible Prior Art
There may be prior art related to:
- Image processing units with neural networks for error correction
- Similar technologies used in digital imaging devices
Unanswered Questions
How does this technology impact the speed of image processing?
This article does not provide information on how the use of artificial neural networks affects the speed of image processing.
What are the potential limitations of using an artificial neural network for error prediction and correction in images?
The article does not address any potential drawbacks or limitations of utilizing an artificial neural network for error prediction and correction in images.
Original Abstract Submitted
an image processing unit includes an imaging sensor having a pixel array, a memory storing an artificial neural network (ann), and an image signal processor configured to operate the ann on an image output by the imaging sensor to predict an error value of a pixel of the image and correct the pixel using the predicted error value.