Ink Estimation Adjustment Mechanism Using Histogram Modification

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Solution Overview

Problem

Conventional ink usage estimation methods for inkjet printers are computationally intensive and require rasterization and halftoning processes, making it inefficient to quickly estimate ink usage changes due to parameter modifications, especially for large print jobs.

Innovation Solution

The method generates estimated ink usage data using gray level histograms and multibit halftone designs, allowing for adjustments based on tone curve changes without recomputing the entire image, thereby reducing computational load and improving accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional ink estimation methods using rasterization and halftoning are used, then accurate ink usage estimation is achieved, but computational complexity and processing time increase significantly

Engineering Contradiction:
Improveink usage estimation accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential information needed for ink estimation by using gray level histograms that capture the distribution of pixel intensities without requiring full rasterization and halftoning. This selective extraction of critical data (histogram statistics) eliminates unnecessary computational steps while preserving the information needed for accurate ink usage prediction.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates a simplified statistical representation (histogram) that copies only the essential characteristics of the image data needed for ink estimation. Instead of processing the complete halftoned bitmap, the method uses histogram copies that capture gray level distributions, enabling fast ink calculation without full image reconstruction.

Inventive Principle:
Principle #26Copying

2Productivity

If down-sampling is used to reduce computational load, then processing speed improves, but estimation accuracy deteriorates

Engineering Contradiction:
Improveprocessing speedVSAvoidestimation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent transitions from spatial domain processing (which requires high-resolution bitmaps) to statistical domain processing using histograms. By changing the dimension of analysis from pixel-level spatial data to gray level distribution statistics, the method achieves both speed and accuracy without being constrained by image resolution.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If full rasterization and halftoning are performed to estimate ink usage, then accurate results are obtained, but processing time increases

Engineering Contradiction:
Improveink usage estimation accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary analysis by computing gray level histograms from the original image data before any halftoning operations. This preliminary statistical characterization captures the essential ink-related information early, allowing subsequent ink estimation to proceed rapidly without waiting for time-consuming rasterization and halftoning processes.

Inventive Principle:
Principle #10Preliminary action

4Measurement precision

If parameter changes require complete recomputation of rasterization and halftoning, then accurate updated estimates are achieved, but adaptability to parameter changes decreases

Engineering Contradiction:
Improveestimation accuracyVSAvoidresponsiveness to parameter changes
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent implements a dynamic estimation approach where gray level histograms can be efficiently updated when parameters change. Instead of static complete recomputation, the method allows incremental adjustments to histogram-based estimates, enabling rapid adaptation to parameter changes while maintaining accuracy through selective recalculation of affected histogram components.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10643115B1Ink estimation adjustment mechanism
Publication Date: 2020.05.05 RICOH CO LTD
  • US10643115B1 patent drawing
  • US10643115B1 patent drawing
  • US10643115B1 patent drawing

AI summary

A system is disclosed. The system at least one physical memory device to store ink estimation logic and one or more processors coupled with the at least one physical memory device, to execute the ink estimation logic to generate first estimated ink usage data for each of one or more color planes based one or more gray level histograms and one or more halftone designs, detect a change to a tone curve of one or more of the color planes, modify the gray level histograms and generate second estimated ink usage data for each of the color planes based on the modified gray level histograms, wherein each gray level histogram corresponds to one of the one or more color planes and each halftone design corresponds to one of the one or more color planes.