Samsung electronics co., ltd. (20240323559). IMAGE SENSOR AND OPERATING METHOD THEREOF simplified abstract

IMAGE SENSOR AND OPERATING METHOD THEREOF

Organization Name

samsung electronics co., ltd.

Inventor(s)

Jeisung Lee of Suwon-si (KR)

Kyeongjong Lim of Suwon-si (KR)

Yohan Roh of Suwon-si (KR)

Youngil Seo of Suwon-si (KR)

Deokha Shin of Suwon-si (KR)

Chanwoo Ahn of Suwon-si (KR)

Hansol Lee of Suwon-si (KR)

Yeolmin Seong of Suwon-si (KR)

Jeongguk Lee of Suwon-si (KR)

IMAGE SENSOR AND OPERATING METHOD THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240323559 titled 'IMAGE SENSOR AND OPERATING METHOD THEREOF

The abstract describes an electronic device with two types of pixel correctors: one corrects individual defective pixels using neighboring pixel values, while the other corrects clusters of defective pixels using a neural network.

• First defective pixel corrector corrects pixel values of individual defective pixels by using neighboring pixel values and generates first pixel data.
• Second defective pixel corrector corrects pixel value of a cluster of defective pixels using a neural network and generates second pixel data.
• The neural network is trained to correct the cluster of defective pixels.

Key Features and Innovation: - Two types of pixel correctors for individual and cluster of defective pixels. - Use of neighboring pixel values and neural network for correction. - Training of neural network for cluster correction.

Potential Applications: - Image processing in electronic devices. - Improving display quality in screens with defective pixels. - Enhancing image data accuracy.

Problems Solved: - Correcting defective pixels in images. - Improving overall image quality. - Enhancing user experience with electronic devices.

Benefits: - Enhanced image quality. - Improved display performance. - Efficient correction of defective pixels.

Commercial Applications: Title: "Advanced Pixel Correction Technology for Electronic Devices" This technology can be used in: - Smartphones, tablets, and laptops. - Monitors and TVs. - Cameras and imaging devices.

Questions about Pixel Correction Technology: 1. How does the neural network learn to correct clusters of defective pixels? The neural network is trained using a dataset of images with known defective pixel clusters to learn how to correct them effectively.

2. What are the advantages of using neighboring pixel values for individual pixel correction? Using neighboring pixel values allows for more accurate correction of individual defective pixels without distorting the overall image quality.

Original Abstract Submitted

an electronic device may include a first defective pixel corrector configured to correct pixel values of defective pixels among the plurality of pixels by using pixel values of neighboring pixels of each of the defective pixels and generate first pixel data, the pixel values of the defective pixels being included in the image data, and a second defective pixel corrector configured to correct a pixel value of a cluster of defective pixels by using a neural network and generate second pixel data, the pixel value of the cluster of defective pixels being included in the image data, and the neural network being trained to correct the cluster of defective pixels.