Depth Image Data Layered Compression via MSB LSB Partitioning

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Solution Overview

Problem

Depth detection devices generate data with different characteristics, leading to significant transmission and storage costs, and existing compression methods are problematic due to noise and instability in depth data.

Innovation Solution

Implementing layered compression techniques that partition depth image data into a most significant bit (MSB) layer and a least significant bit (LSB) layer, where the MSB layer is losslessly encoded and the LSB layer is lossy encoded, with quantization difference data applied to the LSB layer to generate an adjusted LSB layer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If depth data is compressed using traditional image/video compression methods, then transmission and storage costs are reduced, but compression effectiveness is poor due to noise and instability in depth data

Engineering Contradiction:

Improvetransmission and storage costsVSAvoidcompression effectiveness

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The patent segments depth data into multiple layers based on significance (e.g., significant depth values and less significant depth values). This segmentation allows different compression strategies to be applied to different layers, improving overall compression effectiveness while maintaining reliability by preserving important depth information with higher fidelity.

Inventive Principle:

Principle #1Segmentation

2Loss of energy

If depth data is compressed with high compression ratio, then transmission and storage costs are reduced, but depth information accuracy deteriorates

Engineering Contradiction:

Improvetransmission and storage costsVSAvoiddepth information accuracy

Core Design Contradiction:

Loss of energyVSMeasurement precision

Solution Approach 1:

The patent applies different compression qualities to different parts of the depth data. Significant depth values (which contain important structural information) are compressed with higher quality/less aggressive compression, while less significant depth values (which contain finer, less critical details) are compressed with lower quality/more aggressive compression. This local quality approach maintains depth information accuracy for important features while achieving high overall compression ratios.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS9467681B2Representation and compression of depth data

Publication Date: 2016.10.11 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

The techniques and arrangements described herein provide for layered compression of depth image data. In some examples, an encoder may partition depth image data into a most significant bit (MSB) layer and a least significant bit (LSB) layer. The encoder may quantize the MSB layer and generate quantization difference data based at least in part on the quantization of the MSB layer. The encoder may apply the quantization difference data to the LSB layer to generate an adjusted LSB layer.