18486634. EXTENDED BIT-RANGE IN HEIF simplified abstract (Apple Inc.)

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EXTENDED BIT-RANGE IN HEIF

Organization Name

Apple Inc.

Inventor(s)

Leo Barnes of Haiar (SE)

Davide Concion of Campbell CA (US)

Alexandros Tourapis of Los Gatos (S)

EXTENDED BIT-RANGE IN HEIF - A simplified explanation of the abstract

This abstract first appeared for US patent application 18486634 titled 'EXTENDED BIT-RANGE IN HEIF

    • Simplified Explanation:**

The patent application describes a method for improving image coding techniques for high-bit depth images by deriving separate lower-bit-depth main and extension images from a single high-bit-depth source image, encoding them separately, and then combining them at the decoder to reconstruct the original image.

    • Key Features and Innovation:**
  • Deriving separate lower-bit-depth main and extension images from a high-bit-depth source image.
  • Encoding the separate images as lower-bit-depth images.
  • Combining the separate main and extension images at the decoder to reconstruct the original image.
  • Use of lossless or lossy codecs for encoding.
  • Providing backward compatibility with legacy decoders.
    • Potential Applications:**

This technology can be applied in various fields such as digital photography, medical imaging, satellite imaging, and video compression.

    • Problems Solved:**

This technology addresses the challenge of efficiently encoding and decoding high-bit-depth images while maintaining image quality and compatibility with existing systems.

    • Benefits:**
  • Improved image coding efficiency.
  • Enhanced image quality preservation.
  • Backward compatibility with legacy systems.
  • Potential reduction in file sizes for storage and transmission.
    • Commercial Applications:**

The technology can be utilized in industries such as media and entertainment, healthcare, surveillance, and remote sensing for efficient image compression and transmission.

    • Prior Art:**

Prior art related to this technology may include research on image compression techniques, high-bit-depth image processing, and codec development.

    • Frequently Updated Research:**

Researchers may be exploring advancements in image coding algorithms, optimization techniques for high-bit-depth images, and applications of this technology in emerging fields.

    • Questions about Image Coding Techniques for High-Bit Depth Images:**

1. How does this technology improve the efficiency of encoding and decoding high-bit-depth images? 2. What are the potential applications of this image coding technique in different industries?


Original Abstract Submitted

Improved image coding techniques for high-bit depth images includes deriving two or more separate lower-bit-depth main and extension images from one high-bit-depth source image, and then encoding them separately as lower-bit-depth images. At a decoder, the separate main and extension images are decoded, and then combined to create a single reconstructed source image. The improved techniques may use lossless or lossy codecs, and may provide some backward compatibility with legacy decoders.