Apple inc. (20240292114). LENS FLARE DETECTION CIRCUIT USING RAW IMAGE simplified abstract

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LENS FLARE DETECTION CIRCUIT USING RAW IMAGE

Organization Name

apple inc.

Inventor(s)

Muge Wang of San Jose CA (US)

LENS FLARE DETECTION CIRCUIT USING RAW IMAGE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240292114 titled 'LENS FLARE DETECTION CIRCUIT USING RAW IMAGE

The patent application relates to identifying locations in an image where a green ghost is likely to occur by processing a raw version of the image.

  • Extracting a block of pixels from the raw image and comparing each pixel value in the block with a threshold value of a corresponding color channel.
  • Processing the compared results to generate bright light information for the block, indicating the likelihood of a green ghost being present at a location diagonally opposed to the block's location in the image relative to the optical center of an image sensor.
  • By processing the raw image without subsequent processing prone to introducing artifacts, a likely location of the green orb or green ghost can be more accurately identified.
      1. Potential Applications:

This technology could be used in photography to automatically detect and highlight potential green ghost occurrences in images, aiding photographers in capturing unique and intriguing shots.

      1. Problems Solved:

This technology addresses the challenge of accurately identifying locations where green ghosts may appear in images, improving the overall quality and composition of photographs.

      1. Benefits:

- Enhanced image processing capabilities - Improved accuracy in identifying potential green ghost occurrences - Streamlined workflow for photographers

      1. Commercial Applications:

The technology could be integrated into digital cameras, photo editing software, and smartphone apps catering to photography enthusiasts and professionals, enhancing their creative capabilities and final output.

      1. Questions about the Technology:
        1. 1. How does this technology improve the accuracy of identifying green ghosts in images?

This technology utilizes a unique processing method to analyze raw image data and determine likely locations of green ghosts based on pixel values and color channels.

        1. 2. What are the potential implications of false positives in identifying green ghosts using this technology?

False positives could lead to misinterpretations of image elements as green ghosts, impacting the overall quality and credibility of the final photograph.


Original Abstract Submitted

embodiments relate to identifying locations in an image where a green ghost is likely to occur by processing a raw version of the image. a block of pixels in the raw image is extracted and then each pixel value in the block is compared with a threshold value of a corresponding color channel. the compared results are then processed to generate bright light information for the block, indicating whether the green ghost is likely to be present at a location of the image diagonally opposed to the location of the block in the image relative to an optical center of an image sensor. by processing the raw image without subsequent processing prone to introducing artifacts and creating false positive, a likely location of the green orb or green ghost may be more accurately identified.

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