Apple inc. (20240196019). EXTENDED BIT-RANGE IN HEIF simplified abstract
Contents
EXTENDED BIT-RANGE IN HEIF
Organization Name
Inventor(s)
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 20240196019 titled 'EXTENDED BIT-RANGE IN HEIF
Abstract: Improved image coding techniques for high-bit depth images involve deriving two or more separate lower-bit-depth main and extension images from one high-bit-depth source image, encoding them separately, and then combining them at the decoder to reconstruct the source image. These techniques can use lossless or lossy codecs and offer some backward compatibility with legacy decoders.
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 source image.
- Potential backward compatibility with legacy decoders.
Potential Applications: These techniques can be applied in various fields such as medical imaging, satellite imaging, digital photography, and video compression.
Problems Solved:
- Efficient coding of high-bit-depth images.
- Compatibility with legacy decoders.
- Improved image quality preservation during compression.
Benefits:
- Enhanced image quality.
- Reduced storage requirements.
- Improved compression efficiency.
Commercial Applications: These techniques can be utilized in industries such as healthcare, remote sensing, entertainment, and surveillance for efficient image compression and transmission.
Prior Art: Prior research in image compression and coding techniques for high-bit-depth images can be explored to understand the evolution of this technology.
Frequently Updated Research: Stay updated on advancements in image coding algorithms, compression standards, and hardware acceleration for high-bit-depth image processing.
Questions about image coding techniques for high-bit depth images: 1. How do these techniques improve image quality during compression? 2. What are the potential applications of these coding techniques in the medical field?
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.
