Binarized Text Image Control for Small Display Readability
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Solution Overview
Problem
User terminal devices with small display screens, such as smartphones, struggle to clearly display text for individuals with poor vision, as enlarging text can result in distortion or blurring.
Innovation Solution
A user terminal device equipped with a sensor to detect touch operations, a controller to generate indicators, and a display unit to show binarized text images at a preset size, using image processing techniques like sampling, average value calculation, and threshold determination for effective text binarization, while distinguishing between text and non-text areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the text size is enlarged on a small display screen, then the text becomes more visible for users with poor vision, but the text becomes broken or blurred
Solution Approach 1:
The patent divides the text image into multiple small character images individually, then arranges them to form enlarged text. This segmentation approach allows each character to be processed and displayed separately, maintaining clarity while achieving enlargement suitable for users with poor vision.
Solution Approach 2:
The patent applies binarization processing specifically to text areas to enhance local contrast and clarity. By processing only the necessary regions with appropriate techniques, the text maintains sharp edges and clear boundaries when enlarged, avoiding the blurring that would occur with uniform scaling of the entire image.
2Manufacturing precision
If binarization is applied to the entire image, then text clarity is improved, but picture areas, graph areas, and figure areas lose their original quality
Solution Approach 1:
The patent applies binarization selectively only to detected text areas while preserving the original quality of picture areas, graph areas, and figure areas. This localized processing approach ensures that text clarity is enhanced without degrading the quality of other image content.
Solution Approach 2:
The patent segments the image into different functional areas (text areas versus picture/graph/figure areas) and applies different processing techniques to each segment. Text areas undergo binarization for enhanced clarity, while other areas maintain their original appearance, thus preventing quality degradation in non-text regions.
3Adaptability or versatility
If the text image is captured using a camera, then text acquisition is enabled, but the text may be blurred due to camera movement or focusing issues
Solution Approach 1:
The patent performs binarization processing on the captured text image before further processing or display. This preliminary processing step enhances text clarity by converting the image to binary values, which sharpens the text edges and compensates for some blurring caused by camera movement or focusing issues.
Solution Approach 2:
The patent changes the parameter representation of the text image by applying binarization, which transforms continuous grayscale values into discrete binary values. This parameter change enhances text sharpness and readability, effectively compensating for blurring introduced during camera capture.
Data Source
AI summary
A user terminal device and a method for controlling the same are provided. The user terminal device includes a sensor configured to sense a user touch operation for a binarized text image, a controller configured to generate an indicator pointing out a point where the user touch operation is sensed, when the user touch operation is sensed by the sensor, and a display unit configured to display the binarized text image and the generated indicator.