Video Compression Device Memory Bandwidth Optimization
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Solution Overview
Problem
Existing video image compression/decompression technologies do not effectively control lossless and lossy compression techniques, leading to inefficient memory access bandwidth utilization without significant image quality degradation.
Innovation Solution
Implementing a data conversion unit that performs lossless or lossy compression to reduce data access to SDRAM, allowing for efficient burst access and switching between compression methods based on image type, thereby optimizing memory access and maintaining low image quality impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If lossless compression is applied to reduce memory access bandwidth, then memory access efficiency is improved, but device complexity increases due to controlling compression switching
Solution Approach 1:
The patent implements dynamic switching between lossless and lossy compression modes based on image characteristics. The compression unit adapts its compression strategy in real-time by evaluating image data properties, allowing the system to optimize memory bandwidth utilization while managing complexity through conditional logic rather than fixed architecture
Solution Approach 2:
The system changes compression parameters (lossless vs. lossy mode) based on image type and content characteristics. By adjusting the compression approach according to specific image parameters such as complexity, motion, and detail requirements, the system achieves efficient bandwidth utilization without requiring overly complex control mechanisms for all scenarios
2Productivity
If lossy compression is applied to reduce memory access bandwidth, then memory access efficiency is improved, but image quality deteriorates
Solution Approach 1:
The patent applies different compression quality levels to different regions or types of image data. By analyzing image characteristics and applying lossless compression to critical areas (such as regions with important details or motion) and lossy compression to less critical areas, the system maintains overall image quality while achieving bandwidth reduction
Solution Approach 2:
The system dynamically selects between lossless and lossy compression based on real-time image analysis. When image characteristics indicate high quality requirements, lossless mode is activated; when bandwidth pressure is high and image content allows, lossy mode is used, creating a adaptive quality-bandwidth optimization system
3Manufacturing precision
If compression switching control is implemented, then image quality is maintained at low degradation level, but device complexity increases
Solution Approach 1:
The compression unit performs self-analysis of image characteristics and autonomously selects the appropriate compression mode without requiring complex external control mechanisms. The system evaluates its own input data properties and adjusts compression strategy accordingly, reducing the need for sophisticated external control architecture
Solution Approach 2:
The system incorporates feedback mechanisms where compression results and image quality metrics are monitored to adjust compression switching decisions. By using feedback from compression performance and quality measurements, the system optimizes the balance between quality maintenance and control complexity through iterative adjustment
Data Source
AI summary
An image compression/decompression device achieving increased utilization efficiency of the memory bandwidth in the access to the memory used for the compression/decompression operation while maintaining ill effect on the images at a low level is realized. The image compression/decompression device comprises a data conversion unit which reduces the data access rate when original images (as input images at the time of performing the compression) and reference images (used for performing the interframe prediction) are stored in the memory by accessing the memory. The access to the memory is performed in an address sequence (order) that differs between data write and data read. This makes it possible to increase the utilization efficiency of the memory bandwidth, and further to reduce the capacity of the buffer memory used for the data read.