18059591. COMPENSATION OF IMAGING SENSOR simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 COMPENSATION OF IMAGING SENSOR
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 18059591 titled 'COMPENSATION OF IMAGING SENSOR
Simplified Explanation
The abstract 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 sensor.
- The ANN predicts an error value of a pixel and corrects the pixel using the predicted error value.
Potential Applications
This technology could be applied in:
- Image enhancement in digital cameras.
- Medical imaging for improved diagnostics.
- Quality control in manufacturing processes.
Problems Solved
- Correcting errors in pixel values.
- Enhancing image quality.
- Increasing accuracy in image processing tasks.
Benefits
- Improved image quality.
- Enhanced accuracy in image processing.
- Faster and more efficient correction of pixel errors.
Potential Commercial Applications
- Digital camera manufacturers.
- Medical imaging device companies.
- Quality control systems in various industries.
Possible Prior Art
Prior art in image processing and neural networks may exist, but specific examples are not provided in the abstract.
What are the technical specifications of the imaging sensor used in this image processing unit?
The technical specifications of the imaging sensor, such as resolution, pixel size, and sensitivity, are not detailed in the abstract. Further information would be needed to understand the capabilities of the sensor.
How does the artificial neural network predict and correct errors in pixel values?
The abstract mentions that the artificial neural network operates on the image output to predict an error value of a pixel and correct it. However, the specific algorithms or methods used by the neural network for this prediction and correction are not described. Further details would be necessary to understand the inner workings of this process.
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.
