Image Processing Device Tone Value Adjustment for Text Outline Removal
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Solution Overview
Problem
Existing image processing techniques fail to completely remove text outlines from background images, especially when the text line width cannot be increased sufficiently, leading to potential obtrusiveness in the background image.
Innovation Solution
An image processing device adjusts the tone values of pixels in the text outline to match the background tone values more closely, using a specific range determination based on the tone value distribution of the background image data, thereby reducing the obtrusiveness of the text outline in the background image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the line width of text is increased to reduce text outline visibility, then text outline obtrusiveness is reduced, but text sharpness and readability deteriorate
Solution Approach 1:
The patent changes the tone values of pixels in the background image data within the text outline region to match the background tone values. This parameter adjustment makes the text outline pixels indistinguishable from the background, eliminating the harmful text outline effect without altering the original text sharpness or requiring line width increases.
2Object-affected harmful factors
If tone values of all pixels are adjusted to match background, then text outline visibility is reduced, but background appearance and naturalness deteriorate
Solution Approach 1:
The patent applies tone value adjustment only to pixels located within the text outline region, as determined by the text image data overlay. Pixels outside this region retain their original tone values, preserving the natural background appearance. This localized approach ensures that only the harmful text outline pixels are modified while the rest of the background remains unchanged.
3Measurement precision
If text image data is used to identify pixels for adjustment, then text outline removal precision is improved, but processing complexity increases
Solution Approach 1:
The patent uses text image data (binary data representing text positions) as a mask to identify which pixels in the background image data require adjustment. This copying approach allows precise identification of text outline pixels without requiring complex image analysis algorithms, thereby maintaining processing simplicity while achieving high precision in targeting the correct pixels for modification.
Data Source
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AI summary
An image processing device may generate text image data and background image data, based on original image data. The background image data may be generated by performing a correction process on target image data for setting a value of a first-type pixel having a tone value within a specific range before the correction process is performed to a tone value within the specific range after the correction process is performed, and a value of a second-type pixel having a tone value out of the specific range before the correction process is performed to a tone value within the specific range after the correction process is performed. The specific range may include a plurality of consecutive tone values that include a peak tone value. The peak tone value is included in a tone value distribution of the original image data and corresponds to a background of a text.