20240080498.SYSTEMS AND METHODS FOR MOTION COMPENSATED TEMPORAL FILTERING DURING IMAGE PROCESSING OPERATIONS simplified abstract (apple inc.)

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SYSTEMS AND METHODS FOR MOTION COMPENSATED TEMPORAL FILTERING DURING IMAGE PROCESSING OPERATIONS

Organization Name

apple inc.

Inventor(s)

Jae Young Park of Los Gatos CA (US)

Jaehong Chon of San Diego CA (US)

Jim C Chou of San Jose CA (US)

Athanasios Leontaris of Cupertino CA (US)

SYSTEMS AND METHODS FOR MOTION COMPENSATED TEMPORAL FILTERING DURING IMAGE PROCESSING OPERATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240080498 titled 'SYSTEMS AND METHODS FOR MOTION COMPENSATED TEMPORAL FILTERING DURING IMAGE PROCESSING OPERATIONS

Simplified Explanation

The present disclosure describes image processing circuitry that applies temporal filtering to video image data along motion trajectories in the video image data. The temporal filtering is applied by filtering source pixels based on reference pixel values and refined motion vectors. The circuitry fetches source and reference pixel values using received motion vectors from an encoding pipeline. It includes a motion vector refinement block and a temporal filtering block to filter the video image data based on refined motion vectors and source and reference pixel values.

  • Temporal filtering applied to video image data along motion trajectories
  • Source pixels filtered based on reference pixel values and refined motion vectors
  • Circuitry fetches source and reference pixel values using received motion vectors
  • Includes motion vector refinement block and temporal filtering block

Potential Applications

The technology described in this patent application could be applied in various fields such as video processing, surveillance systems, video compression, and image enhancement.

Problems Solved

This technology helps in improving the quality of video images by applying temporal filtering along motion trajectories, resulting in smoother and clearer video output.

Benefits

The benefits of this technology include enhanced video quality, reduced noise in video images, improved motion detection, and overall better visual experience for users.

Potential Commercial Applications

Some potential commercial applications of this technology could include video surveillance systems, video editing software, video streaming services, and video compression tools.

Possible Prior Art

One possible prior art for this technology could be existing video processing algorithms that apply temporal filtering to video data to improve image quality and reduce noise.

Unanswered Questions

How does this technology compare to existing temporal filtering methods in terms of efficiency and performance?

This article does not provide a direct comparison between this technology and existing temporal filtering methods.

What are the specific technical requirements for implementing this image processing circuitry in different video processing systems?

The article does not detail the specific technical requirements for implementing this image processing circuitry in various video processing systems.


Original Abstract Submitted

the present disclosure is directed towards image processing circuitry that applies temporal filtering to video image data along motion trajectories in the video image data. the temporal filtering may be applied along motion trajectories in the image data, by filtering source pixels by reference pixel values and the refined motion vectors. the temporal filtering circuitry may fetch source and reference pixel values based on received motion vectors from an encoding pipeline. additionally, the temporal filtering circuitry may include a motion vector refinement block along with a temporal filtering block, such that the video image data may be filtered based on refined motion vectors and source and reference pixel values.