Image Processing Device Dynamic Output Resolution
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Solution Overview
Problem
Existing image processing devices struggle to appropriately determine output resolution for scan data representing documents that include both characters and natural images, leading to potential issues with image quality and file size.
Innovation Solution
An image processing device that utilizes index values to classify documents based on their fineness and character configuration, determining output resolution by referencing tables that correlate these values with specific optical resolutions, thereby ensuring appropriate image quality and file size management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the output resolution is set high to maintain image quality for documents with fine details, then the image quality is improved, but the file size becomes excessively large
Solution Approach 1:
The patent dynamically changes the output resolution parameter based on the analyzed fineness of the document. By calculating index values from scan data and comparing them against threshold values, the system selects appropriate output resolutions from multiple candidates, thereby optimizing the balance between image quality and file size for different document types
Solution Approach 2:
The system transitions from a static output resolution setting to a dynamic determination process. The output resolution is no longer fixed but is determined in real-time based on the characteristics of the scanned document, allowing the system to adapt to varying document fineness levels and automatically optimize the trade-off between quality and file size
2Quantity of substance
If the output resolution is set low to reduce file size, then the file size is reduced, but the image quality deteriorates
Solution Approach 1:
The system adjusts the output resolution parameter based on the document's fineness characteristics. By calculating index values from scan data and comparing them against threshold values, the system selects appropriate output resolutions from multiple candidates, thereby optimizing the balance between file size and image quality for different document types
Solution Approach 2:
The system transitions from a static output resolution setting to a dynamic determination process. The output resolution is no longer fixed but is determined in real-time based on the characteristics of the scanned document, allowing the system to adapt to varying document fineness levels and automatically optimize the trade-off between file size and quality
3Measurement precision
If the system performs comprehensive analysis to accurately determine output resolution for all document types, then the accuracy of resolution determination is improved, but the processing load increases
Solution Approach 1:
The patent divides the document analysis into distinct segments: character region analysis and natural image region analysis. Different analysis methods and index calculations are applied to different regions based on their characteristics. This segmentation allows the system to process documents efficiently by applying appropriate analysis only where needed, reducing overall processing load while maintaining accuracy
Solution Approach 2:
The system applies different analysis strategies to different regions of the document. Character regions undergo one type of analysis while natural image regions undergo another. This local differentiation allows the system to optimize processing for each region type, improving overall resolution determination accuracy without uniformly increasing processing load across the entire document
Data Source
AI summary
An image processing device (10) may calculate, by utilizing scan data obtained by a scan of a document including a natural image in accordance with a specific optical resolution, a first type of index value for classifying the document, determine an output resolution by utilizing the first type of index value, convert the scan data indicating the specific optical resolution into image data indicating the output resolution in a case where the output resolution is not identical to the specific optical resolution, and create a file including the image data indicating the output resolution.