Graphical Data Compression for Consistent Image Quality
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Solution Overview
Problem
Existing systems fail to maintain consistent image quality across varying image sizes during graphical data compression, often relying on threshold values or size control rather than quality control.
Innovation Solution
A method and system that calculates compression values based on the ratio of image areas and previous compression values to ensure consistent image quality, using a compression value generator and encoder to produce compressed images with a constant quality level, even when images are resized.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed threshold value is used for compression, then the compression level is consistent, but the image quality varies across different image sizes
Solution Approach 1:
The patent applies dynamics by making the compression value adaptive rather than fixed. The compression value dynamically adjusts based on the relationship between current and previous image areas, allowing the system to respond to changing image sizes while maintaining consistent perceived quality across different resolutions
Solution Approach 2:
The patent changes the compression parameter from a fixed threshold to a dynamic value derived from image area ratios. By calculating compression values based on the ratio of current image area to previous image area, the system transforms a static compression approach into one that adapts to size variations, resolving the contradiction between operational simplicity and quality consistency
2Manufacturing precision
If compression value is adjusted for each image size, then image quality consistency is improved, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically calculating appropriate compression values based on image area relationships. Rather than requiring manual configuration or complex external control mechanisms, the system derives compression values from the inherent relationship between consecutive image sizes, simplifying the control architecture while maintaining quality consistency
Solution Approach 2:
The patent implements feedback by using the previous image's area and compression value to determine the current image's compression value. This feedback mechanism allows the system to maintain quality consistency across size transitions without requiring complex predictive models or external intervention, as each compression decision is informed by the previous state
3Productivity
If higher compression is applied to reduce data transmission, then bandwidth efficiency improves, but image quality degrades
Solution Approach 1:
The patent changes the compression parameter dynamically based on image area relationships. By adjusting compression values according to the ratio of current to previous image areas, the system optimizes the balance between compression efficiency and quality preservation, applying appropriate compression levels that maintain consistent perceived quality while maximizing bandwidth utilization
Data Source
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AI summary
A method of controlling graphical data compression levels for a series of images of varying area in order to maintain a consistent image quality, irrespective of image area. An image of a first area is compressed using a first compression value. When the first image is decompressed for display, it is associated with a first image quality. When a new image with a different area is generated, it is compressed using a new compression value derived from the first compression value. The new compression value is suitable for delivering an image quality, when the new image is decompressed for display, substantially the same as the image quality of the first image.