Stamp Field Error Diffusion for Image Artifact Reduction
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Solution Overview
Problem
Existing error diffusion methods for processing continuous-tone images into output images with limited levels introduce artifacts like 'worms' and 'worm holes,' and require complex calculations and resource-intensive processing, especially when using spatial constraints to suppress pixel clustering.
Innovation Solution
A method employing a stamp field with a distance metric, such as city-block distance, to dynamically adjust thresholds and suppress pixel clustering, reducing the need for complex distance calculations by preserving distance ordering and allowing real-time distance determination without storing prior dot locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If spatial constraints are used to suppress pixel clustering, then artifact reduction is improved, but processing complexity and resource consumption increase
Solution Approach 1:
The patent extracts the essential function of spatial constraint by using a stamp field that only stores distance information rather than complete pixel location data. This extraction reduces the complexity of processing while maintaining the artifact suppression capability, as the stamp field contains only the necessary distance metric to enforce spacing constraints without requiring complex nearest-neighbor searches.
Solution Approach 2:
The patent creates a simplified copy of the spatial constraint mechanism through the stamp field, which replicates the distance-constraint function using a simpler data structure. Instead of storing actual pixel positions or performing complex distance calculations, the stamp field uses a simplified distance metric that achieves the same spatial constraint effect with reduced computational overhead.
2Measurement precision
If complex distance calculations are performed to determine nearest dot distance, then spatial constraint accuracy is improved, but processing time and resource usage increase
Solution Approach 1:
The patent replaces complex mechanical distance calculation systems with a simpler stamp field-based distance determination mechanism. Instead of performing computationally intensive nearest-neighbor searches or Euclidean distance calculations, the system uses a pre-computed stamp field that stores distance information in a simplified format, enabling fast lookup and update operations that maintain sufficient distance measurement accuracy without the processing overhead of complex calculations.
3Reliability
If prior dot locations are stored to enforce spatial constraints, then constraint effectiveness is improved, but memory requirements and processing complexity increase
Solution Approach 1:
The patent extracts only the essential distance information from complete pixel location data and stores it in the stamp field. This extraction maintains the reliability of spatial constraints by preserving the distance metric needed to enforce minimum spacing, while eliminating the need to store and process complete pixel position information, thereby reducing memory requirements and processing complexity.
Data Source
AI summary
A method for processing image data that employs a stamp field that contains data representing a distance metric for use with a variety of error diffusion operations. The distance metric possesses distance-order preservation permitting the distance from a previous dot to be determined by incrementing the distance metric, without knowing precisely where the previous dot was printed.