Video Compression Spectrum Modulation for Ringing Artifact Elimination
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Solution Overview
Problem
Current video compression standards, such as ITU Recommendations H.264 and H.265, face challenges in balancing computational efficiency and image definition, leading to reduced image quality and the occurrence of the ringing effect during decompression.
Innovation Solution
A data processing method and system that employs encoding and decoding spectrum modulation to reduce data information in selected frequency regions, improving compression efficiency while maintaining or enhancing the definition of decompressed data, and eliminating the ringing effect by using a corresponding association between encoding and decoding spectrum modulation functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional video compression standards (H.264/H.265) are used with complex frame prediction algorithms, then compression efficiency is improved, but computational complexity increases significantly and image definition deteriorates
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands and applies different modulation strategies to each band. By dividing the compression process into frequency-based segments, the system achieves efficient compression without requiring complex full-frame prediction algorithms, thus reducing computational complexity while maintaining compression efficiency.
Solution Approach 2:
The patent changes the parameter space from spatial domain frame prediction to frequency domain spectrum modulation. By transforming the compression approach from temporal-spatial correlation exploitation to frequency spectrum manipulation, the system achieves comparable or better compression efficiency with significantly reduced computational requirements.
2Device complexity
If high-frequency information is reduced by filtering the original frame, then encoding complexity and data stream size are reduced, but image definition and quality deteriorate
Solution Approach 1:
The patent applies local quality preservation by selectively maintaining high-frequency components in specific frequency bands while applying different modulation strategies to other bands. This allows the system to reduce encoding complexity in certain regions of the frequency spectrum while preserving image definition in regions where high-frequency information is critical for visual quality.
Solution Approach 2:
Instead of completely filtering out high-frequency information, the patent applies partial action by selectively modulating high-frequency bands with appropriate spectrum modulation functions. This partial retention and selective modulation approach maintains sufficient high-frequency content for image definition while still achieving complexity reduction through targeted frequency band processing.
3Productivity
If spectrum modulation is applied to reduce data information, then compression efficiency is improved, but ringing effect occurs in the decompressed image
Solution Approach 1:
The patent converts the potential harm of spectrum modulation (ringing effect) into a benefit by carefully designing the modulation functions to have smooth transitions. The patent transforms what could be a harmful abrupt spectral cutoff into a beneficial gradual attenuation that maintains compression efficiency while eliminating the ringing artifact through proper function design.
Solution Approach 2:
The patent applies preliminary anti-action by pre-designing spectrum modulation functions with built-in anti-ringing characteristics. Before the actual compression process, the system establishes modulation functions that inherently prevent ringing effect occurrence, thus counteracting the potential harmful effect before it can manifest in the decompressed image.
4Productivity
If complex frame prediction algorithms are used to generate predictive frames, then compression ratio is improved, but the ringing effect and loss of high-frequency details occur
Solution Approach 1:
The patent substitutes the mechanical frame prediction system with a frequency-domain spectrum modulation system. Instead of using complex spatial-temporal prediction algorithms that mechanically process entire frames, the system replaces this approach with spectral analysis and modulation that operates on frequency components, achieving similar compression ratios while preserving high-frequency details through selective frequency band handling.
Data Source
AI summary
A data processing method and system provided in this disclosure can perform encoding spectrum modulation on original data, so that an amplitude of an original frame in a selected region is smoothly decreased, thereby reducing an amount of data information and improving data compression efficiency; during decompressing compressed data, decoding spectrum modulation is performed on the compressed data by using parameters corresponding to the encoding spectrum modulation, subtraction is performed between the compressed data and the data that has undergone the decoding spectrum modulation to obtain boundary information, and the boundary information is then superimposed on the compressed data, so that an amplitude of decompressed data is restored or enhanced in the selected region. The decoding spectrum modulation may effectively avoid a ringing effect. The method and system can improve the data compression efficiency, and improve transmission efficiency, while improving definition of the decompressed data.