Signal Reconstruction Layout for High-Quality Video With Less Data
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Solution Overview
Problem
Existing signal processing systems face challenges in efficiently reconstructing high-quality signals from low-quality representations, particularly in handling high-definition video, where large amounts of data need to be stored and transmitted.
Innovation Solution
The system obtains a set of reconstruction elements to reconstruct a high-quality signal representation from a low-quality one. It derives data elements based on these reconstruction elements and outputs data to derive both the low-quality representation and the data elements, with at least one data element being derived from multiple reconstruction elements associated with signal elements from different rows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scalable encoding techniques are used to reconstruct high-quality signals from low-quality representations, then signal quality is improved, but the amount of data that needs to be stored and transmitted increases
Solution Approach 1:
The patent segments the reconstruction process into multiple stages: first reconstructing a low-quality representation, then progressively refining it to high-quality output. The signal elements are processed in rows with different numbers of reconstruction elements, dividing the complex reconstruction task into manageable segments that reduce overall data requirements.
Solution Approach 2:
The patent applies local quality by using different numbers of reconstruction elements for different rows of signal elements. Specifically, at least one data element is derived from at least two reconstruction elements associated with signal elements from the first row and a different number of reconstruction elements associated with signal elements from the second row, allowing optimized quality distribution across different regions of the signal.
2Measurement precision
If high-definition video is processed with traditional compression techniques, then video quality is maintained, but transmission bandwidth requirements increase
Solution Approach 1:
The patent performs preliminary action by first reconstructing a low-quality representation of the signal before performing the full high-quality reconstruction. This preliminary low-quality reconstruction allows the system to work with reduced data initially, then progressively enhance quality, thereby reducing the overall bandwidth required for transmitting high-definition video data.
Solution Approach 2:
The patent introduces a new dimension to the reconstruction process by organizing signal elements into rows and applying different numbers of reconstruction elements to different rows. This dimensional organization allows for more efficient data processing and transmission by exploiting spatial correlations in the video signal structure.
Data Source
AI summary
A set of reconstruction elements useable to reconstruct a representation of a signal at a relatively high level of quality using data based on a representation of the signal at a relatively low level of quality is obtained. The representation at the relatively high level of quality is arranged as an array comprising at least first and second rows of signal elements. A reconstruction element is associated with a respective signal element in the set. A set of data elements is derived based on the set of reconstruction elements. At least one of the data elements is derived from at least two reconstruction elements associated with signal elements from the first row and a different number of reconstruction elements associated with signal elements from the second row.