Image Processing System Server Client Parameter Adaptation
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Solution Overview
Problem
Current image processing technologies face limitations in flexibility and usability, with hardware implementations offering fixed processing styles, easy-to-use automation software providing limited adjustability, and professional software being difficult to use.
Innovation Solution
An image processing method and system where a server receives image capture parameters from a client device, selects and ranks similar images, and returns image modification parameters for processing, allowing for simple, fast, and adjustable image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hardware implementation with fixed algorithms is used, then processing speed is improved, but adjustability deteriorates
Solution Approach 1:
The system dynamically adapts image processing parameters based on captured image data. Instead of fixed hardware algorithms, the system adjusts processing parameters (such as brightness, contrast, saturation) dynamically according to the specific image characteristics and user preferences, resolving the contradiction between fixed processing speed and flexible adjustability
Solution Approach 2:
The system changes processing parameters based on image analysis results. By analyzing captured images and automatically adjusting processing parameters (exposure compensation, white balance, color saturation), the system achieves both efficient processing and high adaptability without requiring fixed hardware algorithms
2Ease of operation
If easy-to-use automation software is used, then ease of operation is improved, but adjustability deteriorates
Solution Approach 1:
The system performs automatic image analysis and self-adjusts processing parameters without requiring user intervention. It automatically analyzes captured images, determines optimal processing parameters, and applies adjustments, providing both ease of use and adaptability through intelligent automation rather than predefined modes
Solution Approach 2:
The system implements feedback loops where processing results are analyzed and used to automatically adjust subsequent processing parameters. This closed-loop approach allows the system to maintain ease of operation while achieving high adjustability through continuous automatic optimization based on actual image quality and user preferences
3Adaptability or versatility
If professional software with multiple adjustment means is used, then adjustability is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs preliminary automatic analysis and parameter optimization before user intervention is needed. By pre-processing images and automatically determining optimal parameters, the system eliminates the need for users to navigate complex software interfaces, providing both high adjustability and ease of use through advance automatic preparation
Solution Approach 2:
The system acts as an intermediary between the user and complex processing operations. It automatically translates user preferences and image characteristics into optimal processing parameters, shielding users from the complexity of multiple adjustment means while still achieving high adjustability through intelligent parameter management
Data Source
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AI summary
The present invention relates to the field of image processing and discloses an image processing method, a client device, and an image processing system. The method includes: detecting by a client device an image to be processed to obtain image information, and uploading the image information to a server; receiving by the client device at least one case related to the image, the at least one case being obtained by the server according to the image information and sent by the server; and processing the image by the client device according to the at least one case related to the image. The client device includes: a detection module, a receiving module, and a processing module. The system includes the foregoing client device and a server, where the server includes: a receiving module, a selection module, and a sending module. The present invention not only achieves simple and fast image processing but also improves adjustability during the processing process.