Image Processing Apparatus Highlighting Dense Modifications
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Solution Overview
Problem
Existing image processing technologies face difficulties in effectively highlighting modifications between two pieces of image data, particularly when the differences are dense and difficult to identify, such as in character or dotted pattern changes.
Innovation Solution
An image processing apparatus with a receiving unit, detecting unit, and generating unit that compares two pieces of image data, detects differences, and generates difference image data by adding auxiliary images to highlight modifications, using techniques like binary conversion, pixel comparison, and object detection to identify and display added or deleted elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If difference image data is generated by simple pixel comparison, then the processing is fast and simple, but modifications in dense areas (such as characters or dotted patterns) become difficult to identify
Solution Approach 1:
The patent segments the image into multiple regions based on density characteristics. Dense regions (such as characters or dotted patterns) are identified and separated from sparse regions. This segmentation allows different processing strategies to be applied to different regions, enabling detailed analysis in dense areas while maintaining overall processing efficiency.
Solution Approach 2:
The patent applies local quality by using different visualization methods for different regions. In dense regions where modifications are difficult to identify, auxiliary images with enhanced visualization (such as highlighting added or deleted portions) are generated. In sparse regions, simple pixel comparison suffices. This local adaptation resolves the contradiction by optimizing for identification accuracy where needed while maintaining speed elsewhere.
2Difficulty of detecting and measuring
If auxiliary images are added to highlight all modifications, then the visibility of modifications is improved, but the complexity of the image processing system increases
Solution Approach 1:
The patent applies partial action by generating auxiliary images only for dense regions where modifications are difficult to identify, rather than for the entire image. This selective approach improves visibility where needed while avoiding the complexity overhead of processing and displaying auxiliary images for all regions, thus resolving the contradiction between visibility and system complexity.
Solution Approach 2:
The system applies different levels of processing complexity to different regions based on their characteristics. Dense regions receive the full auxiliary image treatment for enhanced visibility, while sparse regions use simple pixel comparison. This local quality approach optimizes the balance between modification visibility and system complexity by applying complexity only where necessary.
3Measurement precision
If detailed analysis is performed on all image data, then the accuracy of modification detection is improved, but the processing time increases
Solution Approach 1:
The patent segments the image into dense and sparse regions, then applies detailed analysis only to dense regions where modifications are difficult to identify. Sparse regions are processed using faster pixel comparison methods. This selective segmentation approach maintains high accuracy where needed while minimizing processing time overall, resolving the contradiction between precision and time.
Solution Approach 2:
The patent applies detailed analysis partially, only to dense regions rather than the entire image. This partial action achieves high measurement precision in the critical areas (dense regions) while avoiding the time cost of detailed analysis in sparse regions, thus resolving the contradiction between accuracy and processing time.
Data Source
AI summary
An image processing apparatus includes a receiving unit, a detecting unit, and a generating unit. The receiving unit receives two pieces of image data to be compared with each other. The detecting unit detects the difference between the two pieces of image data received by the receiving unit. If a drawing element in the image data where the difference is detected by the detecting unit is dense with modified parts to such an extent that it is estimated to be difficult to identify the content of modification in the display of the difference, the generating unit generates difference image data indicating the difference between the two pieces of image data for comparison by adding an auxiliary image to highlight the content of the detected difference.