Display Data Wavelet Prioritization for Low-Latency Transmission
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Solution Overview
Problem
Image data compression methods, such as those using Daubechies waveforms and Haar transforms, often fail to ensure timely transmission over bandwidth-limited connections without introducing visual artifacts like tearing, even when compressed.
Innovation Solution
A method that prioritizes the transmission of general approximation coefficients over detail coefficients based on available resources and transmission time, allowing for selective compression and transmission of these coefficients to ensure timely image display, including options to transmit only the general approximation coefficient or both coefficients, either uncompressed or compressed, depending on resource availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image data is compressed using wavelet transformation, then bandwidth requirement is reduced, but transmission time may still be insufficient for timely display
Solution Approach 1:
The patent segments the wavelet coefficients into two distinct groups: general approximation coefficients and detail coefficients. This segmentation allows selective transmission prioritization where approximation coefficients (which contain the most important visual information) are transmitted first with higher priority, while detail coefficients are transmitted subsequently or with lower priority, thereby reducing the critical transmission time for achieving displayable quality
Solution Approach 2:
The patent extracts and transmits only the essential general approximation coefficients when bandwidth or time is limited, separating them from the less critical detail coefficients. This extraction principle allows the system to transmit a minimal viable data set that can be displayed immediately, with the option to later supplement with detail coefficients for enhanced quality
2Manufacturing precision
If all coefficients are transmitted with equal priority, then complete image quality is maintained, but transmission latency increases
Solution Approach 1:
The patent applies different transmission priorities and compression levels to different types of coefficients based on their local importance. General approximation coefficients receive higher priority and lower compression, while detail coefficients receive lower priority and higher compression. This local quality differentiation ensures that the most visually critical data is transmitted quickly and accurately, reducing latency while maintaining acceptable overall image quality
3Measurement precision
If detail coefficients are transmitted at same compression level as approximation coefficients, then data accuracy is maintained, but bandwidth consumption increases
Solution Approach 1:
The patent dynamically changes the compression parameter (quantization level) applied to different coefficient types. General approximation coefficients are transmitted with lower compression (higher accuracy) to preserve the essential image structure, while detail coefficients are transmitted with higher compression (lower accuracy) since they contribute less perceptibly to overall image quality. This parameter differentiation reduces total bandwidth consumption while maintaining acceptable visual fidelity
Data Source
AI summary
A method for compressing display data is disclosed. The method comprises performing a wavelet transformation to obtain a general approximation coefficient and a plurality of detail coefficients for a group of pixels; determining whether to prioritise transmission of the general approximation coefficient over transmission of the detail coefficients based on whether there are sufficient resources available to enable a corresponding image frame to be ready for display and/or based on a time since the detail coefficients for a corresponding group of pixels were previously transmitted. If it is determined that transmission of the general approximation coefficient is to be prioritised over transmission of the detail coefficients, the method comprises either: transmitting only the general approximation coefficient, or compressing at least one detail coefficient so as to be more compressed than the general approximation coefficient and transmitting the general approximation coefficient and the at least one compressed detail coefficient.