Video Frame Boundary Adjustment and Spectrum Modulation
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Solution Overview
Problem
Current video compression standards, such as ITU-T Recommendations H.264 and H.265, face challenges in balancing computational complexity and image definition, leading to reduced image quality and noise issues like the block effect and ringing effect during decompression, which affect the clarity and efficiency of data transmission.
Innovation Solution
A data processing method and system that employs gamma algorithms for boundary adjustments and spectrum modulation to reduce data loss and noise, while maintaining or improving image definition by filtering out intermediate-frequency and high-frequency components during compression and decompression, using encoding and decoding spectrum modulation functions to restore original frame information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If complex algorithms are used to generate predictive frames and reduce high-frequency information according to ITU-T Recommendations H.264 and H.265, then the amount of calculation and encoded data stream are reduced, but the definition of the decompressed video is reduced and noise such as block effect and ringing effect occurs
Solution Approach 1:
The patent applies preliminary action by performing boundary adjustment on the original frame before encoding. The boundary adjustment process modifies boundary pixels to reduce discontinuities that would otherwise cause block effects and ringing effects during decomposition. This preliminary processing prevents the occurrence of noise artifacts before they can manifest in the final decompressed video.
Solution Approach 2:
The patent applies local quality by selectively adjusting only the boundary regions of video frames rather than processing the entire frame uniformly. The boundary adjustment focuses computational resources on specific areas where discontinuities occur, preserving overall video quality while reducing block effects at frame boundaries without requiring complex global algorithms.
2Device complexity
If high-frequency information is filtered to make encoding easier, then the residual between predictive frame and filtered original frame becomes smaller, but the image becomes visually blurred and definition is reduced
Solution Approach 1:
The patent performs boundary adjustment as a preliminary step before main encoding operations. By pre-adjusting boundary pixels to reduce discontinuities, the subsequent encoding process encounters fewer artifacts and requires less complex filtering, thereby maintaining image definition while simplifying the overall encoding complexity.
Solution Approach 2:
The patent applies partial action by focusing processing only on boundary regions rather than the entire frame. This selective approach adjusts only the necessary portions (boundaries) to reduce artifacts, avoiding excessive filtering of the entire image that would cause blurring and loss of definition in non-boundary areas.
3Productivity
If frame prediction technology is used to reduce calculation requirements, then encoding and encoded data stream are greatly reduced, but the amount of calculation increases by approximately 10 times for a 30% to 40% increase in encoding efficiency
Solution Approach 1:
The patent performs boundary adjustment before main encoding to prevent artifact formation. This preliminary step simplifies subsequent encoding operations by reducing the need for complex iterative algorithms, thereby improving encoding efficiency without proportionally increasing computational resource consumption.
Solution Approach 2:
The patent applies local processing only to boundary regions rather than the entire frame. This localized approach reduces the overall computational burden compared to global processing methods, achieving encoding efficiency improvements without requiring excessive computational resources across the whole image.
Data Source
AI summary
A data processing method and system provided in this disclosure may perform a boundary adjustment and encoding spectrum modulation on original data to enhance a boundary within a preset range in an original frame and smoothly decrease an amplitude of the original frame in a selected region, thereby reducing an amount of data information, reducing a data loss, and avoiding a loss of details while improving data compression efficiency; when decompressing compressed data, perform decoding spectrum modulation on the compressed data with parameters corresponding to the encoding spectrum modulation, perform a boundary correction on boundary information within the preset range to eliminate noise, and perform noise reduction on the data while restoring the data, so that decompressed data becomes clearer. The method and system can improve the data compression efficiency, improve transmission efficiency, and reduce data loss, while improving the definition of decompressed data.