Image Processing Apparatus Synchronizing Similar Images
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Solution Overview
Problem
Users face a high workload in applying consistent image processing instructions to multiple similar images, as they need to individually instruct processing operations such as trimming, effects, and margin assignment for each image.
Innovation Solution
A system where a mobile terminal executes first processing on a target image and automatically applies corresponding second processing to similar images, using a processing unit and control unit to synchronize image processing across similar images based on extraction of major subjects and imaging intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually apply image processing instructions to each similar image individually, then processing accuracy and control precision are maintained, but user workload and time consumption increase significantly
Solution Approach 1:
The system enables self-service by automatically detecting similar images and applying processing operations without requiring manual user intervention for each image. The control unit autonomously identifies images needing processing and executes the processing unit's operations on similar images, allowing the system to serve itself rather than requiring continuous user guidance for each individual image.
Solution Approach 2:
The patent applies copying by replicating the processing operation performed on a target image to similar images. The control unit copies the processing parameters and operations from the target image to identified similar images, ensuring consistent processing results across multiple images while reducing the need for repeated manual operations.
2Productivity
If image processing is applied to all similar images automatically, then processing efficiency and consistency are improved, but user control and customization options are reduced
Solution Approach 1:
The system segments the image processing task into identification and execution phases. The control unit first identifies similar images based on predetermined criteria, then the processing unit executes operations on each identified image. This segmentation allows efficient batch processing while maintaining user control through the identification stage, where users can review and confirm which images should be processed together.
Solution Approach 2:
The control unit incorporates feedback mechanisms to monitor and adjust the processing operation. Users can provide feedback during the process, and the system can adapt its behavior based on observed results, ensuring that automatic processing maintains user intentions and customization requirements while achieving high efficiency.
3Loss of time
If manual processing instructions are given for each similar image, then processing precision and adaptability are maintained, but time consumption and labor requirements increase
Solution Approach 1:
The control unit performs preliminary action by pre-identifying similar images and preparing processing parameters before executing the actual processing operations. This preliminary identification and preparation phase reduces the time needed during manual processing while ensuring that precise processing is applied to the correct images, as the system has already segmented and selected the appropriate targets in advance.
Data Source
AI summary
A non-transitory computer readable medium storing an image processing program causes a computer to function as: a processing unit that performs image processing on an image; and a control unit that controls the processing unit to execute first processing on a target image of the first processing instructed by a user and controls the processing unit to execute second processing corresponding to the first processing on a similar image that is similar to the target image.