Adaptive Frequency Strength Image Detail Enhancement
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Solution Overview
Problem
Ultra-high definition (UD) display devices struggle to maintain image quality when displaying lower resolution content, as regular image upscaling or interpolation fails to provide sufficient sharpness and fine details, leading to degraded image quality.
Innovation Solution
A method involving a processor device that determines enhancement information based on frequency characteristics and edge information of input images, mixing this information with the input image to generate an enhanced image with improved sharpness and details, using an edge processing module and detail creation module within a system that includes a mixer module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If regular image upscaling or interpolation is used, then the display can show lower resolution content on UD devices, but the image sharpness and fine details are insufficient leading to degraded image quality
Solution Approach 1:
The patent applies parameter changes by adjusting frequency characteristics and edge strength parameters in the image processing. The system modifies frequency components based on edge strength information, dynamically changing processing parameters to enhance sharpness and fine details while adapting to different image content characteristics.
Solution Approach 2:
The patent implements local quality by applying different processing strengths to different frequency components based on edge strength detection. Areas with strong edges receive different frequency enhancement than smooth areas, creating locally optimized image quality that adapts to the specific characteristics of each image region.
2Manufacturing precision
If adaptive frequency strength control is applied to enhance image details, then image quality improves, but processing time and computational load increase
Solution Approach 1:
The patent replaces traditional mechanical interpolation methods with frequency-domain processing using transform operations. By working in the frequency domain rather than spatial domain, the system achieves superior image quality through mathematical transform operations that are computationally efficient compared to conventional pixel-based upscaling methods.
Solution Approach 2:
The patent applies preliminary action by first detecting edge strength information and determining frequency characteristics before performing the main image enhancement. This preliminary analysis allows the system to pre-determine the appropriate frequency strength control parameters, enabling more efficient processing in subsequent steps.
Data Source
AI summary
Input image information is received. A processor device is used for determining enhancement information based on frequency characteristics and edge information of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.