Panasonic intellectual property management co., ltd. (20240119569). IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD simplified abstract

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IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Organization Name

panasonic intellectual property management co., ltd.

Inventor(s)

Yuzuru Nakamura of Osaka (JP)

Tadamasa Toma of Osaka (JP)

Sotaro Tsukizawa of Osaka (JP)

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240119569 titled 'IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Simplified Explanation

The patent application describes a system for processing distance images to reduce noise and generate a clearer image. Here is a simplified explanation of the patent application:

  • An input interface acquires a distance image with distance values for each pixel.
  • The image is divided into pixel groups based on distance intervals.
  • A noise filter processes each pixel group with different filter parameters to reduce noise.
  • An image combiner combines the processed pixel groups to generate a clearer distance image.
      1. Potential Applications

This technology could be used in various industries such as autonomous vehicles, robotics, and medical imaging for accurate distance measurements and object recognition.

      1. Problems Solved

This technology solves the problem of noise in distance images, which can affect the accuracy of measurements and object recognition.

      1. Benefits

The benefits of this technology include improved image quality, increased accuracy in distance measurements, and better object recognition in various applications.

      1. Potential Commercial Applications

This technology could be commercialized in industries such as automotive, healthcare, and manufacturing for applications like autonomous driving systems, medical imaging devices, and quality control systems.

      1. Possible Prior Art

One possible prior art for this technology could be noise reduction algorithms used in image processing software or hardware.

        1. Unanswered Questions
        2. How does this technology compare to existing noise reduction techniques in image processing?

This article does not provide a direct comparison to existing noise reduction techniques in image processing.

        1. What are the specific filter parameters used for processing each pixel group?

The article does not detail the specific filter parameters used for processing each pixel group.


Original Abstract Submitted

an input interface acquires a first distance image including a plurality of pixels, each of the plurality of pixels indicating a distance value from an image capture device to each point of an object. an image divider divides the first distance image into a plurality of pixel groups based on the distance values of the pixels, such that each of the plurality of pixel groups includes pixels having distance values falling within one of a plurality of distance intervals different from each other. a noise filter individually processes the plurality of pixel groups using a plurality of filter parameters different for the plurality of pixel groups, to reduce noises in the plurality of pixel groups. an image combiner combines the plurality of pixel groups processed by the noise filter, with each other, to generate a second distance image.