Dynamic Bit Rate Control for Image Data Compression
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Solution Overview
Problem
Existing image data compression technologies face challenges in maintaining a constant bit rate while ensuring good image quality, especially for data with high variability in content.
Innovation Solution
A method and system that dynamically control the bit rate of a codec by analyzing information from a first module processing macroblocks, and configuring a second module with updated compression parameters to achieve a substantially constant bit rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If dynamic bit rate control is implemented by analyzing first module output and configuring second module, then bit rate stability is improved, but device complexity increases
Solution Approach 1:
The compression device is divided into multiple processing modules (first module, second module, control module) that perform different functions. The first module processes macroblocks with initial parameters, the control module analyzes output and determines updated parameters, and the second module processes macroblocks with updated parameters. This segmentation allows bit rate control through modular coordination rather than a monolithic complex system.
Solution Approach 2:
The control module receives output from the first module, analyzes the processed macroblock information, and uses this feedback to determine updated compression parameters. These updated parameters are then configured in the second module for processing subsequent macroblocks. This closed-loop feedback mechanism stabilizes bit rate by continuously adapting compression parameters based on actual processing results.
2Manufacturing precision
If multiple processing modules are used for dynamic parameter adjustment, then compression quality is improved, but processing time increases
Solution Approach 1:
The control module determines updated compression parameters in advance based on analysis of the first module's output before the second module processes the macroblocks. This preliminary parameter determination allows the second module to operate efficiently with optimized settings without requiring real-time adjustments during processing, reducing overall processing time while maintaining quality.
Solution Approach 2:
The system dynamically adjusts compression parameters between different processing stages. The first module uses initial compression parameters, while the second module uses updated parameters determined by the control module. This dynamic adaptation allows the system to optimize compression quality at different stages without requiring all processing to occur with suboptimal parameters, balancing quality improvement with processing efficiency.
Data Source
AI summary
There is described herein a method and system for dynamically controlling the bit rate of a codec during image data compression by analyzing information output by a first module that processes the group of macroblocks as part of the compression scheme, and configuring a second module to process the group of macroblocks according to this analysis.