Dynamic Image Processing Algorithm Scene Adaptation
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Solution Overview
Problem
Existing image processing techniques often use a single set of parameters for different images, leading to poor processing quality, especially when images from various scenes are processed uniformly.
Innovation Solution
A method and system for dynamic image processing, where an image processing algorithm adjusts its parameters based on brightness parameters determined from the image, allowing for scene-specific processing to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single set of image processing parameters is used for all images, then the processing method is simple and fast, but the processing quality deteriorates for images with different scene characteristics
Solution Approach 1:
The patent applies dynamics by making the image processing parameters adjustable and scene-dependent rather than fixed. The system dynamically selects different processing parameters based on the detected scene characteristics (brightness, contrast, color temperature), allowing the processing method to adapt to different images while maintaining reasonable complexity through automated scene classification.
Solution Approach 2:
The patent implements parameter changes by modifying image processing parameters (such as gamma correction values, contrast adjustment factors, color balance settings) based on the detected scene type. Different scene categories trigger different parameter sets, enabling high processing quality across diverse images without requiring manual intervention for each image.
2Manufacturing precision
If image processing parameters are adjusted for different scenes, then processing quality improves, but the processing time and computational complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple scene types and their corresponding optimal processing parameters. During image processing, the system quickly classifies the image into one of the pre-defined scene categories and immediately applies the associated parameters, avoiding the need for time-consuming real-time parameter optimization while still achieving scene-specific processing quality.
Solution Approach 2:
The patent segments the image processing task into distinct stages: scene classification (categorizing the image type) and parameter-based processing (applying pre-determined parameters for that category). This segmentation allows the system to efficiently handle different scene types using dedicated parameter sets without requiring complex real-time adjustments, thus reducing overall processing time.
3Manufacturing precision
If automatic scene-based parameter selection is implemented, then processing quality improves, but the system complexity and computational requirements increase
Solution Approach 1:
The patent implements self-service by enabling the image processing system to automatically detect scene characteristics and select appropriate processing parameters without external intervention. The system independently performs scene classification and parameter selection based on image content analysis, reducing the need for manual parameter tuning and simplifying the user interface while maintaining high processing quality.
Solution Approach 2:
The patent applies feedback by using the detected scene characteristics (brightness levels, contrast ratios, color temperature) to inform and adjust the processing parameter selection. The system analyzes image features, compares them against scene type criteria, and selects parameters that provide optimal processing quality for the identified scene, creating a closed-loop adaptive processing system.
Data Source
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AI summary
A system and method is proposed to process images. The method includes obtaining an image including a plurality of pixels; determining at least one brightness parameter based on the brightness values of the plurality of pixels (520); obtaining an image processing algorithm including at least one image processing parameter (530); determining a value of the at least one image processing parameter based on the at least one brightness parameter(540); generating a target image by processing the image according to the image processing algorithm upon the value of the at least one image processing parameter (550).