Image Processing Device Dynamic Compression Rate Adjustment
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Solution Overview
Problem
Existing image processing LSI devices face challenges in efficiently performing image processing due to insufficient band frequency in frame buffers, which can be exacerbated by high compression ratios degrading image quality, and increasing bus width or clock frequency leads to higher costs and complexity.
Innovation Solution
An image processing device with a compression processing section that allows for adjustable compression rates, selecting from multiple compression circuits to match the use environment and load conditions, and includes decompression processing to maintain image quality while optimizing data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the compression ratio is increased to reduce data transfer amount, then the band frequency requirement is reduced, but the image quality deteriorates
Solution Approach 1:
The patent applies dynamics by making the compression ratio adjustable rather than fixed. The compression rate setting section allows dynamic selection of different compression ratios based on operational conditions, enabling the system to adapt between high compression (for bandwidth efficiency) and low compression (for image quality) as needed.
Solution Approach 2:
The patent changes the parameter of compression ratio from a fixed value to a variable that can be adjusted according to different operating conditions. By providing multiple compression circuits with different compression ratios and allowing selection among them, the system can optimize the balance between data transfer amount and image quality based on specific requirements.
2Productivity
If the bus width is expanded or clock frequency is raised to provide sufficient band frequency, then the image processing performance is improved, but the device cost increases
Solution Approach 1:
The patent changes the parameter of data compression ratio to optimize band frequency utilization. By adjusting the compression ratio, the system can reduce the data transfer amount to match the available band frequency of the frame buffer, eliminating the need for expensive bus width expansion or clock frequency increases.
Solution Approach 2:
The patent uses software-based compression circuits that can be implemented as integrated circuits without requiring additional physical hardware resources. This allows achieving sufficient band frequency through algorithmic compression rather than through expensive hardware upgrades like wider buses or faster clocks.
3Device complexity
If a fixed compression ratio is used to simplify the device configuration, then the device complexity is reduced, but the adaptability to different use environments is limited
Solution Approach 1:
The patent applies dynamics by providing a compression rate setting section that allows the compression ratio to be changed based on different use environments and operation circumstances. This maintains relatively simple device configuration while enabling adaptation to various conditions through software-controlled parameter adjustment.
Solution Approach 2:
The patent makes the compression processing section universal by enabling it to operate at multiple compression ratios. The same hardware infrastructure can serve different applications and environmental conditions by adjusting the compression ratio parameter, eliminating the need for multiple dedicated compression circuits for different scenarios.
Data Source
AI summary
An image processing device adapted to perform image processing on an image signal input, and then output the image signal includes an interface section adapted to perform input and output of the image signal in process with a storage device located outside the image processing device, and connected to the image processing device, a compression processing section adapted to compress the image signal output from the interface section to the storage device, and a compression rate setting section adapted to set a compression rate used when compressing the image signal in the compression processing section.


