Image Processing Apparatus Edge Reproducibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing techniques fail to accurately distinguish between edges in line or text and semi-transparent objects, leading to inappropriate edge enhancement or trapping processing, which alters the original color and density of semi-transparent patterns.
Innovation Solution
An image processing apparatus with determination units to identify pixels as edges or semi-transparent objects, selectively applying edge enhancement or trapping processing based on these determinations to prevent unwanted changes in semi-transparent patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If edge enhancement processing is performed for pixels determined to be on edges, then edge reproducibility is improved, but color accuracy deteriorates for semi-transparent objects
Solution Approach 1:
The patent applies different processing strategies to different regions based on their characteristics. By determining whether a pixel belongs to a semi-transparent object through transmittance value comparison, the system applies edge enhancement only to non-semi-transparent edge pixels while preserving semi-transparent regions unchanged, thus achieving local optimization of both edge reproducibility and color accuracy
Solution Approach 2:
The patent segments the image processing into distinct paths based on pixel classification. The determination unit divides pixels into semi-transparent object pixels and non-semi-transparent edge pixels, then the image processing unit follows different processing flows for each segment, preventing inappropriate edge enhancement on semi-transparent objects while maintaining edge enhancement for actual edges
2Reliability
If trapping processing is performed for color boundaries, then misregistration is prevented, but color accuracy deteriorates for semi-transparent patterns
Solution Approach 1:
The patent applies trapping processing selectively based on local pixel characteristics. By determining whether a pixel is part of a semi-transparent object using transmittance values, the system applies trapping only to appropriate color boundary pixels while excluding semi-transparent regions, thus preventing misregistration without introducing unwanted color changes in semi-transparent patterns
Solution Approach 2:
The patent segments the image into semi-transparent object regions and non-semi-transparent color boundary regions. The determination unit classifies pixels based on transmittance comparisons, and the image processing unit applies trapping processing only to the appropriate segment, ensuring reliable misregistration prevention while preserving color accuracy in semi-transparent areas
Data Source
AI summary
In order to suitably perform image processing for enhancing edge reproducibility on an image, an image processing apparatus, determines whether or not a pixel of interest in an input image is a pixel configuring an edge, and determines whether or not the pixel of interest in the input image is a pixel configuring a semi-transparent object. In addition, the apparatus performs image processing for enhancing edge reproducibility for the pixel of interest if it is determined that the pixel of interest is a pixel configuring an edge and is not a pixel configuring a semi-transparent object. On the other hand, the apparatus inhibits execution of the image processing for the pixel of interest if it is determined that the pixel of interest is a pixel configuring an edge and is a pixel configuring a semi-transparent object.