Boe technology group co., ltd. (20240244221). IMAGE PROCESSING METHOD simplified abstract

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IMAGE PROCESSING METHOD

Organization Name

boe technology group co., ltd.

Inventor(s)

Pablo Navarrete Michelini of Beijing (CN)

Yunhua Lu of Beijing (CN)

IMAGE PROCESSING METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240244221 titled 'IMAGE PROCESSING METHOD

The image processing method described in the abstract involves obtaining a current image frame and a reference image frame, performing downsampling and upsampling on both frames, dividing them into sub-blocks, determining matching blocks, obtaining motion vectors, and encoding the current image frame based on the motion vectors.

  • Obtaining a current image frame and a reference image frame
  • Performing downsampling and upsampling on both frames
  • Dividing the processed frames into sub-blocks
  • Determining matching blocks for each sub-block
  • Obtaining motion vectors based on the matching blocks
  • Encoding the current image frame using the motion vectors

Potential Applications: - Video compression - Image recognition systems - Motion tracking in surveillance systems

Problems Solved: - Efficient encoding of video frames - Improved motion estimation accuracy - Reduced data storage requirements

Benefits: - Enhanced video quality - Reduced bandwidth usage - Faster processing speeds

Commercial Applications: Title: Advanced Video Compression Technology for Surveillance Systems Description: This technology can be utilized in CCTV systems for efficient storage and transmission of video data, reducing costs and improving overall system performance.

Questions about Image Processing Technology: 1. How does this method improve motion estimation accuracy in video processing? 2. What are the potential applications of this technology in the field of image recognition?

Frequently Updated Research: Stay updated on advancements in video compression algorithms and motion estimation techniques to enhance the efficiency of this image processing method.


Original Abstract Submitted

an image processing method includes: obtaining a current image frame and a reference image frame; sequentially performing downsampling and upsampling on the current image frame to obtain a processed current image frame, and sequentially performing downsampling and upsampling on the reference image frame to obtain a processed reference image frame; according to a preset division manner, dividing the processed current image frame into current image sub-blocks and dividing the processed reference image frame into reference image sub-blocks; determining a reference image sub-block with a minimum similarity to each current image sub-block among the reference image sub-blocks as a matching block of the current image sub-block; obtaining a motion vector corresponding to the current image sub-block based on each current image sub-block and the matching block corresponding to the current image sub-block; and encoding the current image frame based on the motion vector.