Image Processing System Density Uniformity Correction
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Solution Overview
Problem
Existing methods for binarizing multi-valued images using dither or error diffusion methods result in significant changes in density of the corrected image at certain pixel values, leading to uneven output.
Innovation Solution
An information processing system that adjusts the correction threshold value differently for each pixel in a multi-valued image, using a random number to generate unique threshold values for each pixel, thereby reducing the density variation across different pixel values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a uniform threshold value is used for binarization and isolated point correction, then the processing is simple and fast, but the density of the corrected image changes greatly at certain pixel values leading to uneven output
Solution Approach 1:
The patent applies local quality by assigning different threshold values to different pixels based on their individual characteristics. Instead of using a uniform threshold value for all pixels, the system calculates a specific threshold for each pixel considering its surrounding context and pixel value, thereby achieving uniform density output while maintaining processing efficiency
Solution Approach 2:
The patent changes the parameter of threshold values from a fixed uniform value to variable values that differ for each pixel. By dynamically adjusting the threshold value parameter based on local image characteristics and pixel values, the system resolves the density uniformity issue without significantly impacting processing speed
2Manufacturing precision
If the threshold value for isolated point correction is changed for each pixel, then the density uniformity is improved, but the processing complexity increases
Solution Approach 1:
The patent implements local quality by making the threshold value specific to each pixel's local characteristics. The system determines appropriate threshold values for isolated point correction based on the pixel value and surrounding pixel distribution, achieving density uniformity while using a systematic approach that manages processing complexity
Solution Approach 2:
The patent applies preliminary action by pre-determining the threshold values for each pixel before the actual isolated point correction process. The system calculates and stores threshold values in advance based on image characteristics, so that during correction the system only needs to compare pixel values against pre-computed thresholds, reducing real-time processing complexity
Data Source
AI summary
An information processing system includes a processor configured to correct a pixel of interest that is a colored pixel of interest in a case where a sum of values of colored pixels around the pixel of interest in a predetermined region including the pixel of interest in image data including white pixels and the colored pixels is equal to or less than a threshold value, in which the threshold value is different for each pixel of the image data.