Device-Cloud Image Enhancement With Feature-Gated Uploads
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The limitations of hardware in terminal devices like mobile phones restrict the improvement of image processing performance, and collaborating with the cloud for efficient image processing is necessary to enhance user experience, but current methods lead to ineffective uploads and network traffic waste due to unsupported image processing capabilities.
Innovation Solution
A device-cloud collaborative image enhancement method where the terminal device detects and uploads only images with features supported by the cloud, using a detection algorithm plug-in to ensure compatibility and efficient processing, thereby reducing unnecessary uploads and maintaining user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all images are uploaded to the cloud for enhancement processing, then the cloud can provide comprehensive image enhancement services, but network traffic is wasted on images that the cloud cannot process and user experience deteriorates due to ineffective uploads
Solution Approach 1:
The terminal device performs preliminary detection of image features before uploading to determine if the cloud can process the image. This preliminary action filters out incompatible images, preventing wasteful network traffic on images the cloud cannot enhance, while still allowing comprehensive upload of compatible images.
Solution Approach 2:
The system implements feedback by comparing detected image features against known cloud processing capabilities. This feedback mechanism guides the upload decision, ensuring that only images within the cloud's capability range are uploaded, thereby eliminating network waste while maintaining comprehensive cloud service coverage.
2Speed
If terminal device performs all image enhancement processing locally, then processing speed is fast, but the device's hardware limitations prevent performance improvement
Solution Approach 1:
The image enhancement task is segmented between terminal device and cloud based on capability matching. The terminal device handles detection and local enhancement of compatible images, while the cloud handles enhancement of images requiring advanced processing. This segmentation allows fast local processing where possible while leveraging cloud power when needed.
Solution Approach 2:
The system dynamically adjusts the processing location based on image features and cloud capability matching. Rather than a static approach, the terminal device determines in real-time whether to process locally or upload to cloud, optimizing both speed and productivity adaptively based on each image's characteristics.
3Adaptability or versatility
If terminal device uploads images without capability verification, then all images can be processed, but ineffective uploads occur when cloud does not support the image type
Solution Approach 1:
The terminal device performs preliminary verification of image features against cloud capability requirements before uploading. This preliminary check ensures that only images with supported features are uploaded, maintaining comprehensive processing coverage for compatible images while eliminating ineffective uploads of incompatible ones.
Solution Approach 2:
The system uses feedback from feature detection to determine upload eligibility. By comparing detected image characteristics with cloud capability profiles, the system provides feedback that guides whether to upload, ensuring high reliability of upload effectiveness while maintaining broad adaptability to different image types.
Data Source
AI summary
The disclosed method includes that a server sends first information to an electronic device, where the first information indicates an image enhancement capability supported by the server. The electronic device obtains a to-be-processed first image and sends a first request to the server when the first image includes a preset feature. The method further includes that the server performs enhancement processing on the first image based on the first request and sends the refined image of the first image to the electronic device. Alternatively, the electronic device performs enhancement processing on the first image when the first image does not include the preset feature.