Image Processing Apparatus for Layered Resolution Adjustment
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Solution Overview
Problem
Existing image processing technologies face challenges in reducing file size while maintaining readability, particularly for documents with varying font sizes and complexities, as users cannot configure resolution settings per page, leading to deformation of small font-size characters and complex characters like Kanji.
Innovation Solution
An image processing apparatus that extracts text areas, calculates font sizes and complexities, determines necessary resolutions, and adjusts them to ensure readability by merging text areas into layers with equal resolutions, thereby optimizing file size and readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If resolution is set low to reduce file size, then file size is reduced, but readability is negatively affected by deformation of small font-size characters and complex characters
Solution Approach 1:
The patent applies local quality by determining different resolution values for different text areas based on their specific characteristics. Text areas containing small font-size characters or complex characters (Kanji) are assigned higher resolution values to maintain readability, while text areas with larger or simpler characters can use lower resolution values to reduce file size. This localized resolution adjustment resolves the contradiction between file size reduction and character readability.
Solution Approach 2:
The patent changes the resolution parameter dynamically based on text area characteristics. By calculating font size and character complexity for each text area, the system adjusts the resolution parameter individually for each text area rather than using a uniform resolution for the entire document. This parameter change enables optimal balance between file size and readability for different content regions.
2Manufacturing precision
If resolution is set high to ensure readability, then character readability is maintained, but file size increases
Solution Approach 1:
The patent implements local quality by assigning high resolution values only to specific text areas that contain small or complex characters, while using lower resolution values for text areas with larger or simpler characters. This selective high-resolution processing ensures readability where needed without unnecessarily increasing file size across the entire document.
Solution Approach 2:
The patent dynamically adjusts the resolution parameter based on calculated text area characteristics. By changing the resolution parameter from uniform to variable based on font size and character complexity, the system achieves high readability for critical text areas while minimizing overall file size through lower resolution processing in less critical areas.
3Quantity of substance
If users set resolution low for pages with large font-size characters or alphabets, then file size is reduced, but readability of small font-size characters or Japanese characters deteriorates
Solution Approach 1:
The patent applies local quality by analyzing each text area's specific characteristics (font size, character complexity) and assigning appropriate resolution values accordingly. Text areas with small font-size or complex characters receive high resolution treatment, while text areas with large or simple characters use lower resolution, enabling differentiated quality control that addresses the specific needs of different character types.
Solution Approach 2:
The patent changes the resolution parameter from a fixed low value to a variable value based on text area characteristics. By calculating font size and character complexity for each text area, the system dynamically adjusts resolution parameter to ensure adequate quality for small and complex characters while maintaining file size efficiency for other regions.
4Adaptability or versatility
If users want to configure resolution settings for each page depending on page characteristics, then optimal readability and file size can be achieved, but such configuration is not commonly available
Solution Approach 1:
The patent implements self-service by having the system automatically analyze text area characteristics and determine appropriate resolution values without requiring user intervention. The system autonomously calculates font size and character complexity for each text area, then automatically assigns resolution values and generates the final output, eliminating the need for users to manually configure complex resolution settings while achieving optimal results.
Solution Approach 2:
The patent incorporates feedback mechanisms by continuously analyzing text area characteristics (font size, character complexity) and using this feedback to adjust resolution values. The system processes image data, extracts text areas, calculates characteristics, determines resolution values based on this feedback, and generates the final output, creating a closed-loop system that adapts to content characteristics automatically.
Data Source
AI summary
An image processing apparatus includes: a text area extractor that extracts multiple text areas from image data including texts; a font size calculator that calculates the font sizes of characters in each text area; a complexity calculator that calculates the complexities of characters in each text; a necessary resolution calculator that calculates a necessary resolution for the each text area with reference to the font sizes and the complexities; a resolution determination portion that merges text areas into a layer if a difference in the necessary resolution between the text areas is equal to or less than a specified value and that determines a necessary resolution for the layer with reference to the necessary resolutions for the text areas constituting the layer; and a resolution adjustment portion that adjusts the necessary resolutions for the text areas constituting the layer to a value identical to the necessary resolution for the layer.