Parallel Image Data Processing for Transmission Efficiency
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Solution Overview
Problem
Existing image processing technologies require long times to transmit images due to prescan and final scan processes, leading to low operator efficiency, and often transmit inappropriate image data types, causing excessive data processing loads and complex image processing at external devices.
Innovation Solution
An image data processing device that performs parallel color image correction and monochrome conversion, judges the image type, and transmits either color or monochrome data based on the judgment, allowing for efficient storage and transmission of appropriate image data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prescan and final scan are performed to ensure appropriate image data transmission, then image data quality is improved, but transmission time increases and operator efficiency decreases
Solution Approach 1:
The system performs preliminary color correction on image data during the scanning process, so that when transmission is required, the data is already prepared in the appropriate format. This eliminates the need for separate post-processing scans and reduces total transmission time while maintaining image quality.
Solution Approach 2:
The image processing device continuously performs color correction and monochrome conversion operations during the scanning process itself, rather than sequentially after scanning. This parallel processing continues the useful action of image preparation throughout the scanning operation, reducing overall time loss.
2Reliability
If all three types of image files (color, gray scale, binary monochrome) are transmitted to external devices, then image expression accuracy is improved, but device complexity and processing load increase
Solution Approach 1:
The system extracts and transmits only the necessary image data type (color or monochrome) based on the judgment result, rather than transmitting all three types. This reduces the data volume and processing complexity at the external device while maintaining appropriate image expression accuracy.
Solution Approach 2:
The system applies different processing qualities to different parts of the image data based on local characteristics. By judging the specific characteristics of each image and applying appropriate color correction or monochrome conversion only where needed, the system optimizes processing complexity while maintaining local image expression accuracy.
3Reliability
If color image data is transmitted to PC for processing, then image quality is maintained, but data processing load becomes excessive
Solution Approach 1:
The system applies partial color correction only when necessary based on image type judgment, rather than always applying full color processing. This partial action reduces the data processing load on external devices while maintaining image quality where appropriate.
Solution Approach 2:
The system changes the data parameters by converting color image data to monochrome data when the judgment result indicates monochrome images. This parameter change reduces the data volume and processing load on external devices while maintaining sufficient image quality for the intended use.
Data Source
AI summary
In an image data processing device, correcting of input color image data, converting the input data to monochrome image, and judging whether the image expressed by the input color image data is a color image or a monochrome image, are all performed simultaneously; the corrected color image data and the converted monochrome image data are stored; and based on the judgment, any one of the color image data and the monochrome image data stored are transmitted to an external device via a communicating unit.