18294057. IMAGE PROCESSING MODULE simplified abstract (LG INNOTEK CO., LTD.)

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IMAGE PROCESSING MODULE

Organization Name

LG INNOTEK CO., LTD.

Inventor(s)

Jung Ah Park of Seoul (KR)

IMAGE PROCESSING MODULE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18294057 titled 'IMAGE PROCESSING MODULE

Simplified Explanation: The image processing module described in the patent application uses a deep learning neural network to enhance image quality by removing noise caused by light passing through a display panel.

  • The module includes an input unit to receive the initial image data and a neural network to output improved image data by eliminating noise.
  • The second image data produced is of higher quality, with noise removed, enhancing the overall picture quality.
  • The technology aims to address picture quality degradation issues caused by light transmission through display panels.
  • By utilizing deep learning algorithms, the module can effectively enhance images and improve visual output.

Key Features and Innovation:

  • Utilization of a deep learning neural network for image enhancement.
  • Removal of noise from image data to improve picture quality.
  • Targeting picture quality degradation caused by light passing through display panels.
  • Enhancing visual output through advanced image processing techniques.

Potential Applications: The technology can be applied in various industries such as:

  • Consumer electronics for improving display quality.
  • Medical imaging for enhancing diagnostic accuracy.
  • Surveillance systems for clearer image capture.
  • Automotive displays for better visibility.

Problems Solved:

  • Addressing picture quality degradation caused by light transmission through display panels.
  • Improving overall image quality by removing noise.
  • Enhancing visual output for better user experience.

Benefits:

  • Improved picture quality and clarity.
  • Enhanced visual output for various applications.
  • Advanced image processing capabilities.
  • Better user experience with high-quality images.

Commercial Applications: The technology can be utilized in:

  • Display manufacturing for improved product quality.
  • Medical imaging equipment for enhanced diagnostic capabilities.
  • Surveillance systems for clearer image capture.
  • Automotive displays for better visibility and safety.

Prior Art: Readers interested in prior art related to this technology can explore research on deep learning algorithms for image processing, noise reduction techniques in image enhancement, and advancements in display panel technology.

Frequently Updated Research: Researchers are continually exploring new methods to enhance image quality through deep learning algorithms, noise reduction techniques, and advancements in display panel technology.

Questions about Image Processing Module: 1. How does the deep learning neural network improve image quality? 2. What are the potential applications of this technology in different industries?


Original Abstract Submitted

An image processing module according to an embodiment of the present invention comprises: an input unit for receiving a first image data generated using a light transmitted through a display panel; and a deep learning neural network for outputting a second image data from the first image data, wherein the second image data is an image data from which at least a portion of noise, which is a picture quality degradation phenomenon that occurs when the light is transmitted through the display panel, is removed.