Image Processing Circuit for Detail and Brightness Regulation
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Solution Overview
Problem
Conventional image processing schemes are inflexible and unable to effectively enhance image details and textures, limiting their ability to improve image quality beyond brightness regulation between regions.
Innovation Solution
An image processing apparatus and method that utilize a processing circuit with high-frequency and low-frequency portion processing units to separately regulate image details and brightness, using curve equations and parameter values to generate output images with improved detail and brightness uniformity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional brightness regulation schemes are used, then brightness between regions can be regulated, but image details and textures cannot be effectively enhanced
Solution Approach 1:
The patent divides the image processing into two separate processing units: a low-frequency processing unit that regulates brightness between regions, and a high-frequency processing unit that enhances image details and textures. This segmentation allows each unit to specialize in specific aspects of image processing, thereby effectively enhancing image details while maintaining brightness regulation capabilities.
Solution Approach 2:
The patent applies different processing parameters and algorithms to different frequency components of the image. The low-frequency portion receives brightness regulation processing, while the high-frequency portion receives detail enhancement processing. This local quality approach ensures that each region of the image receives appropriate processing tailored to its specific characteristics.
2Adaptability or versatility
If conventional Gaussian filter adjustment is used, then some brightness regulation is achieved, but the scheme remains inflexible with no additional parameters for other adjustments
Solution Approach 1:
The patent introduces multiple adjustable parameters including curve equations, processing strength factors, and frequency separation thresholds that can be dynamically modified. The system allows independent adjustment of low-frequency and high-frequency processing parameters, enabling flexible adaptation to different image processing needs while maintaining high image detail quality.
Solution Approach 2:
The patent employs curve equations with adjustable parameters to control the brightness regulation process. By modifying parameters such as the curve equation coefficients, processing strength, and frequency thresholds, the system can adapt to different processing requirements without sacrificing image detail enhancement capabilities.
3Manufacturing precision
If conventional schemes are used, then brightness regulation between regions is possible, but overall image quality improvement is significantly limited
Solution Approach 1:
The processing circuit is segmented into distinct functional units: a low-frequency processing unit for brightness regulation and a high-frequency processing unit for detail enhancement. This segmentation improves overall image quality by addressing different aspects of image processing separately, while the modular structure manages complexity through clear functional separation.
Solution Approach 2:
The patent combines the low-frequency brightness regulation processing and high-frequency detail enhancement processing into a unified image processing system. By merging these two processing streams and combining their results, the system achieves comprehensive image quality improvement that neither processing unit could achieve alone, while managing complexity through integrated architecture.
Data Source
AI summary
An image processing method includes: receiving an input image; performing a low-frequency image regulating operation to regulate the local intensity of the image of pixel unit(s) according to low-frequency information of the image of pixel unit(s) of the input image; performing a high-frequency image regulating operation to improve the details of the image of pixel unit(s) according to high-frequency information of the image of pixel unit (s) of the input image; and, generating an output image according to the input image, the low-frequency image regulating operation, and the high-frequency image regulating operation.