Quantization Table Processing for Data Compression
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Solution Overview
Problem
Existing data compression methods for liquid crystal panels struggle to simultaneously achieve a high compression ratio and low distortion rate, leading to inadequate performance in compensating for uneven display performance as resolution increases.
Innovation Solution
A data compression device and method that includes a pre-processing unit, a quantization table processing unit, and a post-processing unit, which determine a target quantization table to optimize the compression ratio and distortion rate by iteratively adjusting quantization step sizes, ensuring minimal data loss and satisfying preset conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If lossless compression is used, then data distortion is minimized, but compression ratio is low and cannot meet compression requirements
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the quantization step size as a key parameter. The system iteratively modifies the quantization step size to find an optimal balance point where the compression ratio meets requirements while data distortion remains within acceptable limits. This transforms the fixed parameter approach into a dynamic optimization process that resolves the contradiction between compression ratio and data distortion.
Solution Approach 2:
The patent implements feedback mechanisms through iterative optimization processes. The system evaluates compression results at different quantization step sizes and uses this feedback to adjust the step size accordingly. This feedback loop enables the system to automatically converge on an optimal quantization step size that satisfies both compression ratio requirements and data distortion constraints.
2Productivity
If lossy compression is used, then compression ratio is high, but data distortion becomes serious after compression
Solution Approach 1:
The patent uses parameter changes by systematically varying the quantization step size to identify the optimal compression threshold. Instead of using a fixed high compression setting that causes severe distortion, the system dynamically adjusts the step size parameter to achieve the highest possible compression ratio while maintaining distortion within acceptable boundaries, thus resolving the contradiction between compression ratio and data distortion.
Solution Approach 2:
The patent applies dynamics by making the quantization step size adjustable rather than fixed. The system adapts the step size based on real-time evaluation of compression results, allowing dynamic optimization of the balance between compression ratio and data distortion. This dynamic approach enables the system to respond to different data characteristics and achieve optimal performance under varying conditions.
3Loss of information
If quantization step size is reduced to minimize distortion, then data quality improves, but compression efficiency decreases
Solution Approach 1:
The patent applies parameter changes by optimizing the quantization step size to find the optimal balance point between data quality and compression efficiency. The system iteratively adjusts the step size parameter and evaluates the trade-off between distortion and compression ratio, ultimately selecting the step size that achieves maximum compression efficiency while maintaining acceptable data quality, thereby resolving the contradiction between these two parameters.
Data Source
AI summary
A data compression device and a compression method are provided. The data compression device includes a quantization table processing unit and a quantization unit. The quantization table processing unit determines a target quantization table in which a quantization coefficient satisfies a data distortion rate and a compression ratio of a preset condition according to a target compression ratio. By constructing different quantization tables for different data, a distortion rate is greatly reduced based on satisfying a compression ratio, and issues that the distortion rate and the compression ratio cannot be simultaneously satisfied in the prior art are alleviated.