Image Saturation Enhancement by Type Segmentation
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Solution Overview
Problem
Existing methods for enhancing saturation in display technology apply a uniform approach to all image frames, which can reduce the beauty degree of user interface (UI) images by over-enhancing their saturation, as UI images are artificially designed to be vivid and do not benefit from the same level of saturation enhancement as natural images.
Innovation Solution
A method that identifies the type of image, whether natural or UI, by analyzing pixel distribution patterns and applies specific saturation enhancement modes tailored to each type, using Hue Saturation Value (HSV) format transformations with different preset values for saturation enhancement, thereby avoiding unnecessary enhancement of UI images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uniform saturation enhancement is applied to all image frames, then the saturation of natural images is improved, but the beauty degree of UI images deteriorates
Solution Approach 1:
The patent segments images into different types (natural images and UI images) based on feature analysis, and applies different saturation enhancement modes to each type. This segmentation allows the system to avoid over-enhancing UI images while properly enhancing natural images, resolving the contradiction between improving saturation accuracy and preserving UI image beauty.
Solution Approach 2:
The patent applies different saturation enhancement strategies to different types of images based on their local characteristics. Natural images receive stronger saturation enhancement with adjustable parameters, while UI images receive minimal or no enhancement. This local quality approach ensures each image type receives appropriate treatment, preventing the beauty degree of UI images from deteriorating while maintaining accurate saturation enhancement for natural images.
2Illumination intensity
If saturation enhancement is applied to enhance colorfulness, then the display effect of natural images is improved, but the aesthetic appeal of UI images is reduced
Solution Approach 1:
The patent dynamically adjusts the saturation enhancement mode based on the identified image type. For natural images, the system applies dynamic saturation enhancement with adjustable parameters to improve colorfulness. For UI images, the system dynamically selects minimal or no enhancement to preserve aesthetic appeal. This dynamic adaptation resolves the contradiction between enhancing colorfulness and maintaining UI image aesthetics.
Solution Approach 2:
The patent changes the saturation enhancement parameters based on image type identification. Natural images use parameter sets optimized for colorfulness enhancement, while UI images use parameter sets that minimize aesthetic impact. This parameter change strategy allows the system to improve colorfulness where needed while avoiding aesthetic degradation of UI images.
Data Source
AI summary
A method, device and medium for enhancing saturation are provided. The method includes: obtaining image feature information of an image; identifying a type of the image according to the image feature information; selecting a saturation enhancement mode corresponding to the type of the image, and enhancing the saturation of the image using the saturation enhancement mode.