Bidimensional Video Bit-Rate Reduction via Segmented Signal Processing
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Solution Overview
Problem
Conventional video compression systems focus on mathematical comparisons rather than visible quality, leading to inefficient bandwidth utilization and image quality degradation during bit-rate reduction.
Innovation Solution
The method involves preprocessing video signals by low-pass filtering and removing pixels to create an information-reduced signal, which is then expanded and compared to the original to generate a support signal, allowing for efficient bit-rate reduction while maintaining image quality through post-processing and combination with the support signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional video compression systems use mathematical comparisons to reduce bit-rate, then bandwidth requirements are reduced, but visible image quality deteriorates
Solution Approach 1:
The video signal is segmented into two separate layers: a first layer containing low-frequency information (obtained through low-pass filtering and pixel removal) and a second layer containing high-frequency information (derived from the difference between original and upconverted signals). This segmentation allows independent optimization of each layer's bit-rate allocation, reducing overall bit-rate while preserving visible quality by maintaining essential low-frequency content and selectively reconstructing high-frequency details.
Solution Approach 2:
The invention transitions from conventional single-layer compression to a bidimensional layered approach, adding a frequency-domain dimension to the compression process. By separating signals into high-frequency and low-frequency layers and processing them differently, the system achieves more efficient bit-rate utilization while maintaining visible image quality that conventional single-layer methods cannot achieve.
2Productivity
If video signals are compressed to reduce bandwidth, then transmission efficiency improves, but image quality artifacts increase
Solution Approach 1:
Different quality levels are applied to different frequency components of the video signal. The first layer (low-frequency) is preserved with higher quality and greater bit-rate allocation, while the second layer (high-frequency) is compressed with lower quality and reduced bit-rate. This local quality differentiation reduces overall bit-rate requirements while minimizing visible artifacts, as the human visual system is more sensitive to low-frequency content.
Solution Approach 2:
An expander process acts as an intermediary between the compressed first layer and the final output, upconverting the low-frequency signal before combining it with the high-frequency layer. This intermediary processing enables efficient reconstruction of the video signal from the segmented layers, reducing transmission bandwidth while maintaining image quality by properly integrating the two frequency components.
3Device complexity
If conventional compression focuses on mathematical accuracy, then compression algorithms simplify, but visible quality retention decreases
Solution Approach 1:
The invention changes the fundamental parameter being optimized from mathematical accuracy (pixel-by-pixel comparison) to visible quality perception (frequency-based importance). By transforming the video signal into frequency domains and applying human visual system characteristics, the system achieves better visible quality retention. The parameter change from spatial domain to frequency domain enables more intelligent bit-rate allocation that prioritizes visually important content.
Data Source
AI summary
Methods and systems for bidimensional video processing comprise preprocessing the video signal in horizontal and vertical dimensions of the video signal to reduce an amount of information of the video signal by low pass filtering the video signal and removing pixels to obtain an information-reduced video signal; expanding the information-reduced video signal by an expander process to produce an upconverted video signal; and comparing the upconverted video signal to the original video input to generate a support signal based on a difference between the original video signal and the upconverted video signal. Further embodiments include at least one of storing and transmitting the information-reduced video signal and the support signal; and during post-processing, processing and combining the information-reduced video signal and the support signal to generate a full information duplicate of the video signal.