Image Processing Apparatus Automatic Color Correction
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Solution Overview
Problem
Existing image data correction technologies for documents scanned by different devices are cumbersome and prone to incorrect color changes, as users struggle to select appropriate correction parameters, leading to unintended color changes during processing.
Innovation Solution
An image processing apparatus that determines correction parameters by analyzing the difference between original and corrected image data from one device, allowing for automatic execution of color correction on image data from another device without user input, using ICC profiles and histogram analysis to identify specific colors for change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual color selection method is used for correction processing, then user can control which color to change, but user burden increases and operation becomes complex
Solution Approach 1:
The system performs automatic color selection by itself without requiring user intervention. The correction parameter determination unit automatically identifies the specific color to be corrected by comparing histograms between original and reference corrected image data, eliminating the need for users to manually select colors while maintaining high accuracy
Solution Approach 2:
The system pre-calculates and stores correction parameters by comparing image data before correction is needed. By determining the correction parameter in advance through histogram comparison and color space conversion, the system prepares the correction information so that actual correction can be applied quickly without complex user operations
2Productivity
If correction processing is performed without accurate color identification, then processing speed increases, but incorrect colors may be changed
Solution Approach 1:
The system replaces manual color selection with automated computational methods. By using histogram comparison and color space conversion algorithms, the system automatically determines correction parameters with high accuracy, eliminating the need for users to manually identify colors while ensuring correct colors are targeted for correction
Solution Approach 2:
The system uses feedback from histogram comparison between original and reference corrected image data to automatically determine correction parameters. The correction parameter determination unit analyzes the histogram differences to identify which color range should be corrected, ensuring accurate color identification before applying correction processing
Data Source
AI summary
An image processing apparatus includes: a controller performs: acquiring first original image data generated by optically reading a first document; acquiring first corrected image data generated by executing first correction processing; calculating a feature amount indicative of a difference between the first original image data and the first corrected image data; determining a correction parameter indicative of the specific color by using the calculated feature amount; acquiring second original image data generated by optically reading a second document different from the first document, and generating second corrected image data by executing second correction processing for the second original image data, wherein the second correction processing is processing of changing the pixel value indicative of the specific color specified by using the determined correction parameter into the pixel value indicative of the color different from the specific color.