Readability Enhancement for Display Images Under Strong Light
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Solution Overview
Problem
Display terminals, such as smartphones and tablets, face reduced readability of images under strong light conditions due to inadequate enhancement methods that can damage the beauty of user interface (UI) images by applying uniform readability enhancements.
Innovation Solution
A method and device that acquire image feature information to identify the type of image (nature or UI) and apply specific readability enhancement techniques, using global or local adjustments based on color level distributions, to enhance readability without damaging UI images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If uniform readability enhancement is applied to all images, then readability under strong light is improved, but the beauty and quality of UI images deteriorate
Solution Approach 1:
The patent applies different enhancement strategies to different image types: nature images receive strong enhancement (brightness adjustment, contrast enhancement, sharpness improvement) while UI images receive mild enhancement (subtle brightness adjustment only). This local differentiation resolves the contradiction by tailoring the enhancement intensity to the specific image category, maintaining UI image quality while improving nature image readability.
Solution Approach 2:
The patent dynamically adjusts enhancement parameters based on image type identification. For nature images, multiple parameters (brightness, contrast, sharpness) are significantly modified. For UI images, only brightness is slightly adjusted and other parameters remain unchanged. This parameter differentiation enables simultaneous optimization of readability and image quality for different image types.
2Reliability
If strong readability enhancement is applied, then visibility in bright conditions is improved, but image aesthetics and original quality are damaged
Solution Approach 1:
The patent implements local quality enhancement by applying strong processing only to nature images where aesthetic damage is less critical, while applying minimal processing to UI images where aesthetics are paramount. This selective approach ensures reliability improvement for nature images without harming UI image aesthetics.
Solution Approach 2:
The patent applies partial enhancement action: for UI images, only the necessary minimum enhancement (brightness adjustment) is applied to maintain aesthetics while providing sufficient visibility improvement. For nature images, more extensive enhancement is applied since aesthetic constraints are lower. This partial action principle prevents excessive enhancement damage.
Data Source
AI summary
The present disclosure relates to a method and device for enhancing readability and a computer-readable medium and belongs to the field of display technology. The method for enhancing readability includes acquiring image feature information of an image; identifying an image type of the image based on the image feature information; selecting a readability enhancing way corresponding to the image type; and enhancing the image by the readability enhancing way.