Image Processing Apparatus Margin Emphasis Control
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Solution Overview
Problem
In multi-functional peripherals like printers and facsimile devices, there is a need to efficiently sort and emphasize specific regions of printed documents, such as headers and footers, to differentiate between multiple print jobs and highlight important information without manual editing.
Innovation Solution
An image processing apparatus with a control unit, storage unit, and operation panel that registers margin images and their positional data, allowing automatic emphasis processing on matching regions within page image data, including options for underlining, color change, and region enlargement, to visually distinguish and prioritize important document information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual editing is used to emphasize important information in printed documents, then the importance of specific regions can be highlighted, but the sorting and differentiation of multiple print jobs becomes time-consuming and labor-intensive
Solution Approach 1:
The system performs preliminary actions by automatically detecting margin images in received image data before printing, and pre-setting emphasis regions within those margin images. This preliminary processing eliminates the need for manual editing after printing, as the emphasis is already prepared and applied automatically, thus resolving the contradiction between ease of operation and time loss.
2Productivity
If automatic emphasis processing is implemented to highlight margin regions, then document recognition and sorting efficiency improve, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The system implements self-service by automatically detecting margin images and determining emphasis regions without requiring external manual intervention. The control unit autonomously processes received image data to identify margin regions, sets emphasis areas within those margins, and applies emphasis processing. This self-service capability improves productivity while avoiding the complexity of manual operation interfaces, as the system performs all operations automatically based on predefined algorithms.
3Ease of operation
If margin images are automatically detected and emphasis regions are set, then manual editing becomes unnecessary, but the measurement and detection of margin regions becomes more complex
Solution Approach 1:
The system applies parameter changes by utilizing the positional information and structural characteristics of margin images to simplify detection. The control unit detects margin images by analyzing their position relative to the main document content and their distinct structural parameters. Once detected, the system determines emphasis regions within those margins by applying predefined parameter-based rules. This approach to parameter-based detection and measurement simplifies the overall process, making it easier to operate while managing the detection complexity through systematic parameter analysis.
Data Source
AI summary
An image processing apparatus includes a data input unit, an operation panel, a storage unit, and a control unit. The operation panel accepts a registration of a margin image and a setting of an emphasis region within the margin image. The storage unit stores data for emphasis including a registered margin image and positional data. The registered margin image is the margin image that has been registered, and the positional data indicates a position of the emphasis region in the registered margin image. When the control unit determines that the registered margin image is included in the page image data, the control unit performs an emphasis process on an image of a corresponding region whose position at the registered margin image included in the page image data is identical to a position of the emphasis region in the registered margin image included in the stored data for emphasis.