Image Processing for Scan Files Using Segmented Lookup Tables
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Solution Overview
Problem
Conventional image forming apparatuses fail to accurately process and print scanned files, leading to blurring and mosaic patterns due to inadequate image processing, especially in gray and text areas.
Innovation Solution
The apparatus determines whether received print data is a scan file or general data, applying distinct image processing methods, including adjusting lookup tables and performing higher-level edge enhancement and half-toning, to reflect the characteristics of the scan file and improve print quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image processing methods are applied to scanned files, then the processing is simple and fast, but the print quality deteriorates with blurring and mosaic patterns
Solution Approach 1:
The patent segments the image processing into distinct stages: detecting scan file characteristics, determining processing type based on detected characteristics, and applying different processing methods (first type for general files, second type for scan files). This segmentation allows targeted application of complex processing only where needed, improving print quality for scanned files while maintaining simplicity for other files.
Solution Approach 2:
The patent applies local quality by implementing different image processing characteristics specifically for scan files versus general files. The processor detects scan file characteristics and applies a second type of image processing with enhanced parameters (edge enhancement, half-toning, lookup table adjustments) only to scan files, while using standard processing for other files. This localized approach improves print quality where needed without unnecessarily complicating overall processing.
2Manufacturing precision
If standard image processing is used for all files, then the processing method is simple, but text and gray areas show blurring and mosaic patterns
Solution Approach 1:
The patent applies preliminary action by detecting scan file characteristics before the main image processing occurs. The processor detects whether the print data is a scan file and determines the appropriate processing type in advance, then applies the corresponding processing method. This preliminary detection prevents the need for trial-and-error processing or post-processing corrections, saving time while ensuring precision.
Solution Approach 2:
The patent utilizes parameter changes by adjusting image processing parameters based on file type detection. For scan files, the processor applies a second type of image processing with modified parameters including enhanced edge enhancement strength, adjusted half-toning settings, and customized lookup table values. These parameter changes are applied selectively based on detected scan file characteristics, improving image processing precision for scanned content while maintaining standard parameters for other files to minimize processing time.
Data Source
AI summary
An example image forming apparatus includes a communicator to receive print data, an image forming unit, and a processor to control the image forming unit to perform image processing on the received print data and control the image forming unit to print the image-processed print data. When the received print data is not a scan file, the image processing is performed at a first level and when the received print data is a scan file, the image processing is performed at a second level, the second level being higher than the first level.