Isolated Point Noise Removal in Image Processing
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Solution Overview
Problem
Conventional image processing systems fail to completely remove isolated point noise from character regions in images, leading to inaccuracies in edge identification and character recognition.
Innovation Solution
An image processing apparatus and method that includes an isolated point detection and removal mechanism, using gradation operations and comparisons to identify and replace isolated points with pixels from the peripheral region, ensuring accurate edge identification and character region specification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If filter processing for edge reinforcement is used to remove isolated point noise, then edge identification is improved, but isolated point noise cannot be removed completely
Solution Approach 1:
The patent segments the image processing into distinct stages: first performing isolated point removal processing, then edge reinforcement processing. This segmentation allows each processing stage to focus on its specific function without interference, enabling complete isolated point removal while preserving edge information for accurate identification.
Solution Approach 2:
The patent performs isolated point removal as a preliminary action before edge reinforcement. By removing isolated points first, the subsequent edge reinforcement processing operates on clean data, ensuring both complete noise removal and accurate edge identification without the limitations of conventional simultaneous processing.
2Reliability
If isolated point removal is performed before edge identification, then isolated point noise is removed completely, but processing complexity increases
Solution Approach 1:
The patent employs a determination portion that uses universal determination conditions to identify isolated points regardless of their position or characteristics in the image. This universal approach simplifies the overall processing logic while maintaining complete isolated point removal, as the same determination criteria apply throughout the entire image processing pipeline.
3Productivity
If conventional filter processing is used, then processing speed is maintained, but isolated point noise removal accuracy is insufficient
Solution Approach 1:
The patent replaces conventional mechanical filter processing with a determination-based system that uses logical comparison operations. The determination portion compares pixel values against determination conditions to identify isolated points, substituting complex mechanical filtering with simpler logical operations that achieve higher removal accuracy while maintaining processing efficiency.
Data Source
AI summary
An isolated point detection portion detects an isolated point in image data input from an image data adjustment portion. An isolated point removal portion makes a replacement of image data at a point of an isolated point detected by the isolated point detection portion. An edge identification portion performs edge identification for identifying a character region for the image data from which the isolated point has been removed by the isolated point removal portion. In this technique, edge identification is performed after the isolated point is erased by performing isolated point identification as a preliminary step of edge identification, so that isolated point noise can be removed with high accuracy.