Image Processing Apparatus Density Gradient Conversion

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Solution Overview

Problem

Existing image processing technologies fail to effectively convert images by maintaining the density gradient of objects drawn with varying densities, resulting in unnatural transitions at edges.

Innovation Solution

An image processing apparatus that calculates a density relation value for each pixel, selects a conversion color based on this value, and adjusts pixel values to create a converted image that reflects the original density gradient, using a processor and memory to execute these operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If existing image processing technology is used to convert images, then the conversion process is simple, but the density gradient of objects is not maintained and unnatural transitions occur at edges

Engineering Contradiction:
Improvedensity gradient accuracyVSAvoidimage processing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the image processing by calculating density relation values for each pixel independently based on its coordinates and the drawn object's geometry. This per-pixel segmentation allows precise control of density gradients without requiring complex global processing, resolving the contradiction between precision and complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by determining conversion colors and density relations specifically for each pixel based on its position relative to the drawn object. This localized approach ensures that each pixel's density gradient is accurately maintained according to the original drawing, achieving high precision without uniform complex processing across the entire image.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If density gradient is maintained for each pixel, then visual fidelity is improved, but processing time and computational load increase

Engineering Contradiction:
Improvedensity measurement accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary action by pre-calculating the geometric parameters of the drawn object (center coordinates, radius, etc.) before pixel conversion. This preliminary preparation enables efficient per-pixel density calculations during conversion, reducing overall processing time while maintaining accurate density gradients for each pixel.

Inventive Principle:
Principle #10Preliminary action

3Manufacturing precision

If conversion color is selected based on density relation value, then color fidelity to original drawing is improved, but conversion complexity increases

Engineering Contradiction:
Improvecolor conversion accuracyVSAvoidconversion process complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by systematically varying the conversion color based on the density relation value calculated for each pixel. The conversion color is determined by mapping the density relation value (ranging from 0 to 1) to appropriate color values, creating accurate color gradients that reflect the original drawing's density variations through controlled parameter transformation rather than complex multi-step conversion.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9473676B2Image processing apparatus
Publication Date: 2016.10.18 BROTHER KOGYO KK
  • US9473676B2 patent drawing
  • US9473676B2 patent drawing
  • US9473676B2 patent drawing

AI summary

An image processing apparatus includes: a processor; and memory storing computer readable instructions, when executed by the processor, causing the image processing apparatus to execute: acquiring target data representing a target image; calculating, for each of a plurality of target pixels forming the target data, a density relation value related to density of the target pixel; selecting a conversion color for an object pixel among the plurality of target pixels; converting pixel value of the object pixel to generate converted data such that, the higher the density represented by the density relation value of the object pixel, the closer the pixel value of a pixel of the converted data to a value indicative of the conversion color for the object pixel; and outputting the converted data.