Adaptive Image Color Enhancement Preserving Detail Sharpness
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Solution Overview
Problem
Traditional image color enhancement methods result in detail loss due to a saturation change function slope less than 1, which affects the sharpness and vividness of images.
Innovation Solution
An adaptive image color enhancement method that adjusts the saturation enhancement by controlling the slope of the saturation conversion function based on local detail information, using a second saturation conversion function derived from the difference in brightness values of adjacent pixel points, to preserve image details and enhance vividness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If traditional nonlinear saturation transformation is applied to enhance image color, then image vividness is improved, but detail information is lost and sharpness deteriorates
Solution Approach 1:
The patent applies different saturation enhancement strategies to different regions of the image based on local detail characteristics. By calculating local detail information (difference grayscale values of adjacent pixels) and using this to determine appropriate saturation conversion functions, the method enhances vividness in regions where it is appropriate while preserving details in regions where strong enhancement would cause loss. This local adaptive approach resolves the contradiction between overall vividness enhancement and detail preservation.
Solution Approach 2:
The patent dynamically adjusts the saturation conversion function based on the slope value calculated from local detail information. When the slope is small (indicating low detail content), a stronger saturation enhancement function is applied; when the slope is large (indicating high detail content), a more conservative enhancement is applied. This dynamic adaptation allows the system to optimize vividness enhancement while preserving sharpness according to the specific characteristics of each pixel region.
2Illumination intensity
If saturation enhancement intensity is increased to improve vividness, then color vibrancy is enhanced, but detail loss increases
Solution Approach 1:
The patent uses local detail information (calculated from difference grayscale values of adjacent pixels) as feedback to determine the appropriate saturation enhancement intensity. The slope value derived from this feedback is used to select or adjust the saturation conversion function, creating a closed-loop system that adapts the enhancement strength based on the actual detail content present in each region, thereby preventing excessive detail loss while maintaining color vibrancy.
Solution Approach 2:
The patent changes the parameters of the saturation conversion function based on local detail characteristics. By calculating the slope from difference grayscale values and using this to determine which saturation conversion function to apply (first or second function with different enhancement characteristics), the system dynamically adjusts enhancement parameters to match the local image content, optimizing the balance between color vibrancy and detail preservation.
Data Source
AI summary
Disclosed are an image color enhancement method and a device. The method comprises: obtaining a first saturation of any pixel point in an image; processing the first saturation according to a first saturation conversion function to obtain a slope corresponding to the first saturation; obtaining a second saturation conversion function according to local detail information if the slope is smaller than a first preset threshold; processing the first saturation according to the second saturation conversion function to obtain a second saturation of the pixel point; calculating a target brightness value according to the second saturation; and adjusting an original brightness value to the target brightness value. Thereby, a different saturation enhancement method is adopted for the pixel points which are easy to cause the details in the image lost, so that the image vividness is enhanced, and the detail information is preserved to improve the sharpness.