Color Barcode to Monochrome Conversion via Preliminary Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems cannot effectively decode and output color barcodes when scanned in monochrome mode, resulting in loss of original color information.
Innovation Solution
An image processing apparatus and method that converts color barcodes to monochrome barcodes by identifying and decoding color barcodes in scanned images, allowing for storage or output in monochrome mode while maintaining the ability to revert to original color data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a color barcode is scanned in monochrome mode, then the scanning process is simple and fast, but the color information is lost and cannot be decoded back to original color barcode
Solution Approach 1:
The system performs preliminary detection of color barcode characteristics during the scanning process by analyzing color depth and histogram data, even before final monochrome conversion. This preliminary action allows the system to identify and preserve color information that can be later recovered, preventing complete information loss while maintaining efficient monochrome scanning operation.
Solution Approach 2:
The system introduces an intermediary processing layer that detects color barcode features and creates a parallel color information extraction path. This intermediary mechanism allows the primary monochrome scanning flow to remain fast while simultaneously capturing color data through additional processing stages, enabling both speed and information preservation.
2Quantity of substance
If color barcode information is converted to monochrome mode for storage, then storage efficiency is improved, but the original color barcode cannot be recovered
Solution Approach 1:
The system segments the barcode processing into separate functional layers: a monochrome representation layer for efficient storage and a color information layer for preservation. By dividing the data into these segments, the system can store the compact monochrome version while maintaining the full color barcode data separately, enabling both space efficiency and information recovery.
Solution Approach 2:
The system changes the data representation parameters by maintaining multiple versions of the barcode data with different color depth parameters. The monochrome version uses minimal color parameters for storage efficiency, while the original color version preserves full color information, allowing flexible parameter adjustment based on storage needs versus recovery requirements.
3Extent of automation
If the system automatically converts color barcodes to monochrome, then processing is automated and efficient, but user control over color preservation is lost
Solution Approach 1:
The system implements feedback mechanisms that detect color barcode presence and characteristics during scanning, then present this information to the user through interface elements. This feedback allows the automated system to inform users about color information detection results, enabling informed decisions about whether to preserve color data while maintaining efficient automated processing flow.
Solution Approach 2:
The system makes the conversion process dynamic by allowing users to adjust processing parameters in real-time based on detected color barcode characteristics. The automation level and conversion behavior can be dynamically adjusted according to user preferences and detected conditions, combining automated efficiency with user control flexibility.
Data Source
AI summary
An image processing apparatus has an image read unit configured to form image data from a scanned original and an image processing unit configured to process the image data to identify a color barcode therein, convert the color barcode into a monochrome barcode, and generate new image data that contains the monochrome barcode in place of the color barcode.