Image Processing Skew Correction for Sheet Distortion

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Solution Overview

Problem

Current image processing technologies face challenges in accurately setting and adjusting correction targets for skew correction, particularly in cases of distortion and uneven sheet sizes, leading to labor-intensive adjustments and potential image quality deterioration.

Innovation Solution

An image processing apparatus and method that allows for skew correction by deforming images in advance to offset distortions, with selectable execution options for skew correction based on sheet specifications, including one side, two sides, or external form, and prioritizing margin usage for high-priority corrections.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If skew correction is executed by deforming image information, then image position adjustment with high degree of freedom is achieved, but correction target position cannot be appropriately set leading to labor-intensive adjustments

Engineering Contradiction:
Improveimage position adjustment precisionVSAvoidoperation complexity
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The system automatically detects sheet distortion and calculates correction parameters without user intervention. The image processing unit autonomously determines the correction target position and applies skew correction, eliminating the need for manual adjustment by operators.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses detection results from the sheet distortion detection unit as feedback to automatically adjust image position. The correction amount is calculated based on detected distortion, creating a closed-loop system that eliminates manual trial-and-error adjustment.

Inventive Principle:
Principle #23Feedback

2Manufacturing precision

If skew correction is executed by deforming image information, then image position adjustment with high degree of freedom is achieved, but margin is required in image print area reducing print productivity

Engineering Contradiction:
Improveimage position adjustment precisionVSAvoidprint productivity
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The system performs skew correction by deforming image information before printing, compensating for anticipated sheet distortion. This preliminary action eliminates the need for post-print adjustment and reduces margin requirements, thereby improving print productivity.

Inventive Principle:
Principle #10Preliminary action

3Manufacturing precision

If skew correction is executed, then image position adjustment is improved, but image quality may deteriorate

Engineering Contradiction:
Improveimage position adjustment precisionVSAvoidimage quality deterioration
Core Design Contradiction:
Manufacturing precisionVSObject-affected harmful factors

Solution Approach 1:

The system adjusts deformation parameters based on detected sheet distortion characteristics. By changing image deformation parameters dynamically according to actual sheet conditions, the system achieves precise position correction while minimizing image quality deterioration.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9992374B2Image processing apparatus and image processing method
Publication Date: 2018.06.05 KONICA MINOLTA INC
  • US9992374B2 patent drawing
  • US9992374B2 patent drawing
  • US9992374B2 patent drawing

AI summary

An image processing apparatus includes: an image processing unit configured to execute, in forming an image on both surfaces of a sheet, image processing including skew correction to deform the image in advance to offset distortion to be caused in the image to be formed on the sheet, wherein, the image processing unit receives specification of any of one side, two sides, and an external form of the sheet, as a reference position of the image processing for the image to be formed on the both surfaces of the sheet, and executes the image processing including the skew correction based on the specification.