Image Processing Device Scenario-Based Enhancement
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Solution Overview
Problem
Existing image processing methods lack pertinency, leading to suboptimal image quality due to uniform adjustment of brightness and chroma, deviating from human visual cognition.
Innovation Solution
An image processing method that identifies scenarios within an original image, extracts feature information including color, texture, and transform domain features, and applies corresponding enhancement methods to achieve optimal image display by converting between color spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform adjustment of brightness and chroma is applied to the entire image, then the processing simplicity is maintained, but the image quality and visual perception accuracy deteriorate due to lack of pertinency
Solution Approach 1:
The image is divided into multiple regions based on brightness and chroma characteristics. Each region is independently processed with appropriate enhancement methods, allowing differentiated treatment of different image areas while maintaining overall image quality and visual perception accuracy
Solution Approach 2:
Different enhancement strategies are applied to different regions of the image based on their specific characteristics. Bright regions use one set of processing parameters while dark regions use another, ensuring each area is enhanced appropriately without compromising overall image quality
2Manufacturing precision
If scene identification and multiple enhancement methods are applied, then the image quality and visual perception accuracy are improved, but the processing complexity increases
Solution Approach 1:
The image is pre-processed by dividing it into regions based on brightness and chroma characteristics before applying enhancement methods. This preliminary segmentation simplifies the subsequent enhancement process by organizing the image into manageable regions that can be processed systematically
Solution Approach 2:
Different enhancement parameters are applied to different regions based on their brightness and chroma characteristics. By changing parameters locally rather than uniformly, the system achieves high image quality while managing complexity through parameter differentiation rather than structural complexity
Data Source
Figure 1~2
AI summary
The present invention provides an image processing method, an image processing apparatus and a display device. The image processing method includes identifying a plurality of scenarios from an original image, determining an enhancement method corresponding to each of the scenarios, and performing image processing on the corresponding scenario through the enhancement method to obtain an enhanced image. According to the features of different scenarios, different image processing methods are pointedly adopted to enable the processed image to better conform to the cognition of human eyes on the image, so as to achieve an optimal image display effect.