Image Filter Selection via Environmental Parameter Mapping
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Solution Overview
Problem
Existing image processing tools require manual selection of filters, which is inconvenient and lacks adaptive functionality to the user's environment, necessitating users to sift through numerous options.
Innovation Solution
An image processing method and device that automatically selects a filter based on environmental parameters such as season, weather, and time, using a preset mapping to adjust image filters like tone, saturation, and brightness, thereby simplifying the filter addition process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual filter selection is implemented, then users can choose from various filter options, but operation complexity increases and user convenience decreases
Solution Approach 1:
The system automatically selects and applies filters based on environmental parameters (location, weather, time) without requiring manual user intervention. The electronic device performs self-service by autonomously determining the appropriate filter from a preset mapping table, thereby eliminating the need for users to manually browse and select from numerous filter options.
Solution Approach 2:
The system pre-establishes a mapping relationship between environmental parameters and filter parameters before actual image processing occurs. This preliminary preparation allows the system to quickly retrieve and apply the appropriate filter based on current environmental conditions, eliminating the need for real-time manual selection and reducing operational complexity.
2Adaptability or versatility
If environmental adaptation is added, then filter selection becomes context-aware, but system complexity increases
Solution Approach 1:
The system changes the parameter space by introducing environmental parameters (geographic location, weather conditions, time of day) as the basis for filter selection instead of relying on manual user input. This parameter transformation enables contextual adaptation while maintaining a relatively simple system structure through the use of preset mapping tables that directly correlate environmental conditions with filter parameters.
Solution Approach 2:
The patent introduces an intermediary mapping table that bridges environmental parameters and filter parameters. This intermediary structure simplifies the system architecture by providing a direct lookup mechanism, avoiding the need for complex real-time analysis or multiple processing layers, thus reducing overall system complexity while enabling environmental adaptation.
3Ease of operation
If automatic filter selection is implemented, then user operation is simplified, but loss of user control increases
Solution Approach 1:
The system provides feedback to users about the environmental parameters detected and the filter selected based on those parameters. This feedback mechanism allows users to understand the rationale behind the automatic filter selection, maintaining awareness of the processing being performed on their images while still enjoying the simplified operation of automatic filter application.
Data Source
AI summary
An image processing method includes that: a first instruction of adding a filter to a target image is obtained; information of an environment where an electronic device is positioned is obtained, and a value of a first parameter is obtained on the basis of the information of the environment; a first preset mapping between different values of the first parameter and different values of a filter parameter is searched for a value of the filter parameter matched with the value of the first parameter; and filter addition is performed on the target image on the basis of the searched out value of the filter parameter. An image processing device, electronic device and a computer storage medium are also provided.