Image Processing Apparatus Geometric Distortion Correction
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Solution Overview
Problem
Image processing technologies face challenges in effectively monochromatizing foreground portions with similar colors in captured images, particularly in portable terminals, where environmental conditions and lighting variations lead to geometric distortion and inclusion of unwanted objects, making it difficult to maintain the originality and visibility of documents.
Innovation Solution
An image processing apparatus and method that identifies and corrects geometric distortion in captured images, and then performs shade removal and foreground extraction to unify similar colors into a single color, allowing for optional monochromatization of text portions, enhancing visibility and maintaining document originality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If shade component removing processing is performed on captured images, then visibility of foreground portions is improved, but minute color differences in foreground portions are lost
Solution Approach 1:
The image processing is divided into distinct segments: first shade component removal is performed, then foreground portion extraction is applied selectively. This segmentation allows the system to remove shades from the background while preserving and enhancing the color information of foreground portions through subsequent extraction processing.
Solution Approach 2:
Different processing qualities are applied to different regions of the image. The shade component removing processing is applied to the background area to improve visibility, while the foreground portions undergo extraction processing to preserve their color characteristics. This local quality approach ensures that each region receives the appropriate treatment to maintain both visibility and color accuracy.
2Manufacturing precision
If geometric distortion correction is applied to captured images, then document shape accuracy is improved, but processing time increases
Solution Approach 1:
Geometric distortion correction is performed as a preliminary step before other image processing operations. By correcting the geometric distortion early in the processing pipeline, subsequent operations such as shade removal and foreground extraction can be performed more efficiently on the already-corrected image, reducing overall processing time.
Solution Approach 2:
The system performs geometric distortion correction quickly by using efficient algorithms that prioritize speed while maintaining adequate accuracy for the application. The correction is rushed through as a necessary preliminary step to enable faster subsequent processing of the document image.
Data Source
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AI summary
An image processing apparatus includes an acquisition unit configured to acquire an image, an image processing unit configured to perform image processing on the acquired image, and an output unit configured to output the image having undergone the image processing to an output destination. The image processing unit is able to perform replacement processing for replacing colors of predetermined image portions in the acquired image with a color selected from a plurality of predetermined different colors based on the colors of the predetermined image portions. The output unit is able to output the acquired image having undergone the replacement processing to the output destination and to output the image not having undergone the replacement processing to the output destination.