Image Processing Device Color Frequency Analysis Monochrome Readability
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Solution Overview
Problem
Existing image processing devices for converting color images to monochrome struggle with making text characters in color images easy to read, as they often result in documents with underlined red text being difficult to read due to unique color data determination.
Innovation Solution
An image processing device that calculates the appearance ratio of color data, determines the most frequently occurring color data, and appends appropriate attribute data to character data, converting it into binary for monochrome printing, thereby enhancing readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If color data is uniquely determined for text characters, then color information is preserved, but readability deteriorates due to underlined red text
Solution Approach 1:
The patent applies local quality by differentiating treatment based on character properties. It identifies text characters versus non-text elements (such as underlined portions) and applies different attribute determination rules to each. Text characters receive attributes based on their color frequency analysis, while non-text elements maintain their original formatting, thereby preserving color information where it matters most for readability.
Solution Approach 2:
The patent changes the parameter of attribute determination from unique color mapping to frequency-based attribute assignment. By calculating the appearance ratio of each color data and assigning attributes based on frequency rather than unique correspondence, the system transforms how color information is processed, enabling better readability while maintaining color fidelity for important elements.
2Ease of operation
If appearance ratio calculation is performed for all color data, then appropriate attributes are assigned, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing color frequency analysis and attribute determination in advance, before the actual text processing and rendering stages. The system pre-calculates appearance ratios of color data and determines attributes for different character types beforehand, so that when text needs to be processed, the attribute information is already ready, reducing real-time processing time.
Solution Approach 2:
The patent segments the color data analysis process into distinct phases: extracting color information from image data, calculating appearance ratios, determining attributes based on frequency, and applying attributes to specific character types. This segmentation allows each phase to be optimized independently and enables parallel processing, thereby reducing overall processing time while maintaining accuracy.
Data Source
AI summary
An image processing device includes an acquiring unit, a calculating unit, a color data determining unit, an appending unit, and a converting unit. The acquiring unit acquires print data. The print data includes a plurality of sets of text data. Each set of text data has character data and color data. The calculating unit calculates, for each set of color data, an appearance ratio at which a subject set of color data appears in the print data. The color data determining unit determines the color data having a highest appearance ratio among a plurality of appearance ratios of a plurality of sets of color data as first color data, and determines the color data except for the first color data as second color data. The appending unit appends first attribute data to the character data included in the text data having the first color data, and appends second attribute data to the character data included in the text data having the second color data. The converting unit converts a plurality of sets of character data into binary data, based on one of the first attribute data and the second attribute data which is appended to the subject set of character data.