Image Processing Apparatus Adaptive Compression Strategy
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Solution Overview
Problem
Existing image processing technologies inefficiently utilize storage capacity and processing speed due to uniform compression methods, leading to suboptimal storage capacity usage and potential image quality deterioration during specific applications.
Innovation Solution
An image processing apparatus that divides input data into partial data, analyzes each stage for compression suitability based on image feature values, compresses and decompresses accordingly, and schedules processing to optimize storage and processing efficiency, using lossy or lossless compression methods as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If uniform compression method is applied to all image data, then storage capacity is reduced, but image quality deteriorates and processing efficiency is suboptimal
Solution Approach 1:
The patent applies different compression methods to different regions of image data based on their specific characteristics. The analysis unit divides the image into multiple regions and evaluates each region's features to determine the most suitable compression method, thereby achieving optimal compression ratio while maintaining image quality in each local area.
Solution Approach 2:
The patent dynamically changes compression parameters based on image data characteristics. The analysis unit evaluates features such as color depth, image content, and region properties to select appropriate compression parameters, allowing the system to adapt compression strength and method to match the specific requirements of different image regions.
2Quantity of substance
If compression is applied at all image processing stages, then storage capacity is optimized, but processing speed decreases due to additional decompression operations
Solution Approach 1:
The patent performs compression operations at specific preliminary stages of image processing where the data is most suitable for compression. The analysis unit identifies optimal compression points before certain processing operations, allowing compression to be applied when it provides maximum storage efficiency without requiring subsequent decompression that would reduce processing speed.
Solution Approach 2:
The patent dynamically determines when compression should be applied based on real-time analysis of image data characteristics and processing stage requirements. The system flexibly adjusts compression operations to match the specific needs of each processing stage, avoiding rigid application of compression that would reduce overall processing speed.
3Device complexity
If compression is applied without analyzing image features, then processing is simplified, but storage capacity is not efficiently utilized
Solution Approach 1:
The patent segments the image data into multiple regions or blocks and analyzes each segment's specific features independently. This segmentation allows the system to apply compression strategies tailored to each region's characteristics, maximizing storage capacity efficiency while keeping the overall processing architecture manageable through modular analysis and compression operations.
Data Source
AI summary
Provided is an image processing apparatus that can efficiently utilize the storage capacity in image processing. A dividing unit divides inputted image data into a plurality of partial data. An analysis unit analyzes whether or not each of the plurality of partial data divided by the division unit is suitable for compression at any of a plurality of stages of image processing in which feature of image changes. A compression unit compresses the partial data at the stage when the analysis unit analyzes that it is suitable for compression. A decompressing unit decompresses the partial data compressed by the compression unit at the stage when it is compressed. A processing execution unit executes processing at the stage of image processing on the partial data decompressed by the decompressing unit.