Image Formation Device Halftone Processing Flexibility
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Solution Overview
Problem
Existing image formation devices using ink-jet technology face limitations in flexibility for optimizing halftone processing due to dot size allocation methods being heavily dependent on threshold matrix characteristics, resulting in low design flexibility when using multiple dot sizes.
Innovation Solution
An image formation device and method that select combinations of threshold matrices for binarization processing and classify threshold values into multiple divisions, allowing for the determination of dot sizes based on code values, thereby achieving compatible dithering properties and increased design flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dot sizes are allocated in accordance with the array of threshold values using a single threshold matrix, then binarization processing can be performed, but flexibility in design for optimizing halftone processing becomes low
Solution Approach 1:
The patent segments the threshold value range into multiple divisions and assigns different threshold matrices to different divisions. This allows each division to use optimized threshold matrices for specific occupancy rate ranges, thereby improving design flexibility while maintaining manageable system complexity through structured segmentation.
Solution Approach 2:
The patent dynamically selects and combines multiple threshold matrices based on the occupancy rate characteristics of different image regions. By adapting the threshold matrix selection to local image properties, the system achieves high flexibility in optimizing halftone processing for varying dot occupancy rates.
2Manufacturing precision
If multiple types of threshold matrices are used for different occupancy rates, then dot distribution characteristics can be optimized, but the system complexity increases
Solution Approach 1:
The patent divides the threshold value range into multiple divisions and assigns specific threshold matrices to each division based on occupancy rate characteristics. This segmentation approach enables precise control of dot distribution for different occupancy ranges while managing system complexity through organized matrix selection.
Solution Approach 2:
The patent changes the parameters of threshold matrices (such as threshold values and matrix structures) to match different occupancy rate requirements. By adjusting matrix parameters according to local image characteristics, the system achieves precise dot distribution control without requiring an excessive number of different matrices.
3Manufacturing precision
If a single threshold matrix is used for all regions, then system complexity is low, but dot distribution characteristics cannot be optimized for different occupancy rates
Solution Approach 1:
The patent implements a dynamic threshold matrix selection mechanism that adapts to local occupancy rate characteristics. By dynamically choosing appropriate threshold matrices for different image regions, the system achieves optimized dot distribution characteristics while the selection mechanism remains relatively simple based on occupancy rate thresholds.
Solution Approach 2:
The patent changes threshold matrix parameters according to occupancy rate divisions, allowing optimization of dot distribution for different occupancy scenarios. This parameter adaptation enables precise control of halftone characteristics without requiring complex matrix selection logic.
Data Source
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AI summary
There are provided an image formation device, method, and program capable of forming an image, which is appropriate for a combination of dot sizes, with high flexibility in design for optimizing halftone processing in a case of using a plurality of dot sizes. Two or more combinations are selected among combinations of a plurality of types of threshold matrix and at least one type of division information for classifying a whole range of threshold values covered by the types of threshold matrix into a plurality of divisions. Then, by respectively applying the two or more combinations, dot sizes of pixels are determined on the basis of assigned two or more code values.