18532587. IMAGE DATA DECOMPRESSION simplified abstract (Imagination Technologies Limited)

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IMAGE DATA DECOMPRESSION

Organization Name

Imagination Technologies Limited

Inventor(s)

Ilaria Martinelli of Hertfordshire (GB)

Simon Fenney of Hertfordshire (GB)

Kellie Marks of Sydney (AU)

Paul Higginbottom of Sydney (AU)

IMAGE DATA DECOMPRESSION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18532587 titled 'IMAGE DATA DECOMPRESSION

Simplified Explanation: The patent application describes a method for determining image element values from compressed data representing a block of image data with multiple channels, including a reference channel and non-reference channels, through decompression.

  • Compressed channel data is used to determine initial data values for each image element.
  • Decompressed data values for non-reference channels are determined based on compression modes - either channel decorrelating mode or non-channel decorrelating mode.
  • If the compression mode is non-channel decorrelating, the decompressed data value for the non-reference channel is the initial data value for that channel.
  • If the compression mode is channel decorrelating, the decompressed data value for the non-reference channel is a function of the initial data values for the non-reference channel and one of the reference channels.

Key Features and Innovation:

  • Determining image element values from compressed data with multiple channels.
  • Decompressing data to determine initial values for each image element.
  • Differentiating between compression modes to determine decompressed data values for non-reference channels.

Potential Applications: This technology can be applied in image processing, data compression, and multimedia applications where efficient decompression of image data is required.

Problems Solved: This technology addresses the challenge of efficiently determining image element values from compressed data with multiple channels, improving data processing and decompression efficiency.

Benefits:

  • Improved image data decompression efficiency.
  • Enhanced image processing capabilities.
  • Better utilization of compressed data for image analysis.

Commercial Applications: The technology can be utilized in industries such as digital imaging, video processing, medical imaging, and remote sensing for efficient data compression and processing.

Prior Art: Readers can explore prior patents related to image data compression, decompression, and channel decorrelation techniques to understand the evolution of this technology.

Frequently Updated Research: Researchers are continually exploring advancements in image data compression and decompression techniques, including the optimization of channel decorrelation methods for improved image processing efficiency.

Questions about Image Data Decompression: 1. How does this technology improve the efficiency of image data decompression? 2. What are the potential applications of this method in multimedia industries?


Original Abstract Submitted

Image element values are determined from compressed data representing a block of image data comprising data values relating to a respective plurality of channels including a reference channel and a plurality of non-reference channels by performing decompression. Compressed channel data is read from the compressed data and used to determine an initial data value relating to a channel for each of the image element values being decompressed. For each of the image element values, a decompressed data value is determined for the non-reference channels by: (i) reading, from the compressed data, an indication of a compression mode, wherein the compression mode is either a channel decorrelating mode or a non-channel decorrelating mode, (ii) if the compression mode is the non-channel decorrelating mode, determining the decompressed data value for the non-reference channel to be the determined initial data value relating to the non-reference channel for the image element value; and (iii) if the compression mode is the channel decorrelating mode, determining the decompressed data value for the non-reference channel to be a function of the determined initial data value relating to the non-reference channel and the determined initial data value relating to one of the reference channels for the image element value.