Image Processing System with Resolution-Based Preview
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing techniques face challenges in providing real-time editing and preview, especially with large images, leading to user dissatisfaction and increased workload due to slow processing speeds and lack of interactive control.
Innovation Solution
The method involves loading and decrypting an image, shrinking it to a preset resolution for real-time editing and preview, and then applying edits to the original image only after satisfactory preview is achieved, utilizing background threads for efficient processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real-time preview is implemented for large images, then user interaction and control are improved, but processing speed becomes too slow to handle large images
Solution Approach 1:
The patent divides the image processing task into two separate stages: first processing a reduced-resolution preview image for real-time user interaction, then processing the original high-resolution image for final output. This segmentation allows the system to provide real-time feedback without being constrained by the processing requirements of the full-resolution image.
Solution Approach 2:
The patent creates a reduced-resolution copy (preview image) of the original image to enable real-time editing and preview operations. This copy serves as a working version that can be processed quickly, while the original high-resolution image remains intact for final processing after user approval.
2Productivity
If batch processing is used to improve work efficiency, then number of repetitive operations is reduced, but processing time increases when number of images is large
Solution Approach 1:
The patent segments the batch processing into two phases: first applying editing operations to reduced-resolution preview images for quick iteration and user feedback, then applying the same operations to original high-resolution images. This allows the system to maintain batch processing efficiency while reducing the time required for each individual processing step.
Solution Approach 2:
The patent performs preliminary processing on reduced-resolution images before final processing on original images. This preliminary action allows users to review and approve editing outcomes quickly, and only after satisfaction is achieved does the system proceed to process the original high-resolution images, thereby avoiding unnecessary time consumption on unsatisfactory edits.
3Ease of operation
If automatic batch parameter adjustment is implemented, then user workload is reduced, but user control and satisfaction are compromised
Solution Approach 1:
The patent implements a feedback mechanism where users can review the edited preview images and provide feedback before final processing. This allows the system to automatically process images while maintaining user control, as users can approve or modify parameters based on real-time preview results.
Solution Approach 2:
The patent creates a dynamic workflow where automatic processing can be adjusted based on user feedback. The system transitions between automatic batch processing and manual review/adjustment modes, allowing users to control the process at critical decision points while maintaining efficiency during automated stages.
Data Source
AI summary
The disclosure provides a method for image processing, including: loading and decrypting an image file to obtain an original image, and saving the original image; shrinking the original image to obtain a pending image with a preset resolution, and saving the pending image; editing the pending image and previewing the pending image in real time; and editing the original image after the real-time previewing. The disclosure also provides a system for image processing. the disclosure can increase efficiency of real-time preview at the time of image editing.