Image Processing Parameter Selection for Sensitive Character Removal
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Solution Overview
Problem
Existing image processing devices require complex and cumbersome manual settings for sensitive character removal, with low intelligence and user experience.
Innovation Solution
An image processing device utilizing a pre-processing module, deep learning module, and data analysis module to automatically set image processing parameters through feature extraction, identification, and neural network-based adjustments, enabling intelligent and automated processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual parameter setting is used for image processing, then the device can process various file types, but the operation becomes complex and cumbersome
Solution Approach 1:
The system performs self-service by automatically analyzing the input file type and selecting appropriate image processing parameters without requiring user intervention. The processor autonomously determines processing settings based on file characteristics, eliminating the need for manual parameter configuration while maintaining versatility across different file types.
Solution Approach 2:
The system automatically changes processing parameters based on the detected file type. Different file types trigger different parameter sets for optimal processing results. This dynamic parameter adjustment allows the device to adapt to various formats while keeping the user interface simple, as the parameters are adjusted automatically rather than requiring manual selection.
2Adaptability or versatility
If manual parameter setting is used for image processing, then the device can handle different functional settings, but the degree of intelligence is low
Solution Approach 1:
The system autonomously performs file type recognition and parameter selection, demonstrating high automation. The processor analyzes input files and automatically configures processing parameters without human intervention, significantly increasing the degree of intelligence while maintaining comprehensive functional settings capability.
Solution Approach 2:
The system performs preliminary analysis of the input file to determine its type and characteristics before processing begins. This advance determination allows the device to pre-configure appropriate parameters, enabling intelligent automation while supporting multiple functional settings. The preliminary file type recognition eliminates the need for manual configuration during the actual processing operation.
3Ease of operation
If automated parameter setting is implemented, then operation is simplified, but the system must accurately identify file types and characteristics
Solution Approach 1:
The system replaces manual mechanical parameter selection with an automated detection and analysis mechanism. The processor uses file type recognition algorithms to automatically identify and classify input files, substituting the manual inspection and selection process with automated digital analysis. This enables operation simplification while ensuring accurate file type identification through systematic analysis methods.
Data Source
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AI summary
An image processing method, applied to an electronic apparatus, includes performing feature extraction processing on a source image to obtain a feature data set corresponding to a source file, determining an image processing parameter corresponding to the feature data set according to the feature data set, and processing the source image according to the image processing parameter.