Differential Image Compression for Wireless VR

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Solution Overview

Problem

Current image compression techniques for virtual and augmented reality applications are inadequate for low latency and high-resolution requirements, as they either require significant processing power or result in reduced image quality due to limited bandwidth and latency constraints.

Innovation Solution

A method for differentially compressing and decompressing image data based on system operation, content, and user interaction, using encoder and decoder processing devices to optimize compression levels for wireless transmission, allowing for varying degrees of compression across different areas of an image based on factors like user gaze and device configuration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If traditional image compression techniques are used to reduce bandwidth requirements, then data transmission efficiency is improved, but image quality deteriorates or processing time increases

Engineering Contradiction:
Improvedata volumeVSAvoidimage quality
Core Design Contradiction:
Quantity of substanceVSManufacturing precision

Solution Approach 1:

The patent applies differential compression where different regions of the image are compressed to different degrees. Areas with high visual importance (such as regions containing text, faces, or detailed features) are compressed less or not at all, while areas with low visual importance are compressed more aggressively. This local differentiation allows the system to maintain image quality in critical regions while reducing overall data volume through aggressive compression in non-critical regions.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments the image into multiple regions or blocks and applies compression independently to each segment. By dividing the image into manageable sections, the system can apply different compression levels to different segments based on their visual importance, thereby optimizing the balance between data reduction and quality preservation.

Inventive Principle:
Principle #1Segmentation

2Manufacturing precision

If high resolution images are generated to ensure lifelike appearance, then visual quality is improved, but processing requirements and latency increase

Engineering Contradiction:
Improveimage resolutionVSAvoidprocessing latency
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system applies differential compression based on the visual importance of different image regions. By identifying and preserving high-frequency information in critical areas (such as text regions, faces, or detailed objects) while applying stronger compression to less important areas, the system maintains high resolution where needed and reduces processing time elsewhere, thereby optimizing the balance between image quality and processing speed.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The compression strategy is dynamically adjusted based on the content analysis of each image. The system analyzes image characteristics (such as the presence of text, faces, or detailed regions) and adapts the compression level accordingly. This dynamic adaptation allows the system to maintain high resolution for critical regions while reducing processing time for less important areas.

Inventive Principle:
Principle #15Dynamics

3Quantity of substance

If compression is applied to reduce bandwidth for wireless transmission, then transmission efficiency is improved, but processing power requirements increase

Engineering Contradiction:
Improvebandwidth consumptionVSAvoidprocessing power
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent segments the image processing task into multiple regions and applies compression independently to each segment. By dividing the complex compression task into smaller, manageable segments, the system can process images more efficiently and distribute the computational load, thereby reducing overall processing power requirements while maintaining effective compression.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies differential compression where less processing power is allocated to regions with low visual importance and more processing power is allocated to regions with high visual importance. This localized approach to processing optimizes the balance between compression effectiveness and computational resource consumption.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11973979B2Image compression for digital reality
Publication Date: 2024.04.30 IMMERSIVE ROBOTICS PTY LTD
  • US11973979B2 patent drawing
  • US11973979B2 patent drawing
  • US11973979B2 patent drawing

AI summary

A method of displaying images forming part of a digital reality stream, the method including, for each image to be displayed in one or more encoder processing devices, generating compressed image data by differentially compressing image data indicative of the image in accordance with system operation and the content of the digital reality stream so that different parts of the image are compressed using a different degree of compression, wirelessly transmitting the compressed image data to a display device using a wireless communications link, and, in one or more decoder processing devices associated with the display device, differentially decompressing the compressed image data to thereby generate image data indicative of the image to be displayed.