18395213. CODING APPARATUS AND DECODING APPARATUS simplified abstract (SHARP KABUSHIKI KAISHA)

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CODING APPARATUS AND DECODING APPARATUS

Organization Name

SHARP KABUSHIKI KAISHA

Inventor(s)

Keiichiro Takada of Sakai City (JP)

Tomohiro Ikai of Sakai City (JP)

Yasuaki Tokumo of Sakai City (JP)

Tomoko Aono of Sakai City (JP)

Takeshi Chujoh of Sakai City (JP)

CODING APPARATUS AND DECODING APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18395213 titled 'CODING APPARATUS AND DECODING APPARATUS

Simplified Explanation

The patent application discusses a decoding apparatus that decodes coded data, including supplemental enhancement information for a deep learning post-filter. This information helps adjust the filtering process for attribute images, improving image quality.

  • The decoding apparatus includes a header decoder, an attribute image decoder, and an attribute image filter unit.
  • The header decoder decodes information indicating that the attribute image filter unit should perform filtering on the attribute image.
  • The attribute image filter unit adjusts the filtering process based on the supplemental enhancement information decoded from the coded data.

Key Features and Innovation

  • Decoding apparatus for coded data with supplemental enhancement information for a deep learning post-filter.
  • Ability to adjust filtering process for attribute images based on decoded information.
  • Improves image quality by enhancing the filtering process using deep learning technology.

Potential Applications

  • Image and video processing applications.
  • Multimedia content production and editing tools.
  • Quality enhancement in digital imaging and video streaming.

Problems Solved

  • Inability to adjust filter strength for attribute images with varying features.
  • Limited image quality improvement performance without supplemental enhancement information.
  • Lack of efficient filtering processes in deep learning post-filters.

Benefits

  • Enhanced image quality in multimedia content.
  • Improved filtering accuracy for attribute images.
  • Efficient processing of coded data for better visual output.

Commercial Applications

"Deep Learning Post-Filtering Technology for Image and Video Enhancement" This technology can be utilized in:

  • Video streaming services for better quality output.
  • Digital imaging software for professional photographers and videographers.
  • Media production companies for enhancing visual content.

Prior Art

Further research can be conducted in the field of deep learning post-filters and image enhancement technologies to explore existing solutions and advancements in this area.

Frequently Updated Research

Stay updated on advancements in deep learning technologies, image processing algorithms, and multimedia content enhancement techniques to leverage the latest innovations in this field.

Questions about Deep Learning Post-Filtering Technology

How does the decoding apparatus improve image quality in multimedia content?

The decoding apparatus adjusts the filtering process for attribute images based on supplemental enhancement information, leading to enhanced image quality in multimedia content.

What are the potential applications of this technology beyond image and video processing?

This technology can also be applied in fields such as medical imaging, satellite imagery analysis, and autonomous driving systems for enhancing visual data processing and analysis.


Original Abstract Submitted

Use of only supplemental enhancement information of a deep learning post-filter cannot adjust a filter strength in a case that each frame has a different image feature, thus reducing image quality improvement performance. A decoding apparatus for decoding coded data includes a header decoder that decodes supplemental enhancement information of a deep learning post-filter from the coded data, an attribute image decoder that decodes an attribute image from the coded data, and an attribute image filter unit that performs filtering processing of the attribute image, wherein the header decoder decodes objective information indicating that the attribute image filter unit is to perform filtering processing on the attribute image.

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