Skew Correction in Image Scanning Apparatus

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Solution Overview

Problem

Existing image processing technologies fail to accurately correct distortions in scan images due to skew, which can occur at various edges, leading to suboptimal image quality.

Innovation Solution

An image processing apparatus and method that includes a scanning unit, a first determination unit to detect skew, a second determination unit to classify the type of skew, and an image correction unit to apply specific corrections based on the skew type, using techniques such as linear regression analysis and pixel value calculations to convert distorted images into corrected ones.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If a single correction method is applied to all skew cases, then the device complexity is reduced, but the manufacturing precision of image correction deteriorates

Engineering Contradiction:
Improveimage correction precisionVSAvoidcorrection system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the skew correction process into distinct types (first skew affecting top/bottom edges, second skew affecting left/right edges, and combined skew). Each skew type is detected and corrected using specialized correction units tailored to that specific distortion pattern, thereby achieving high correction precision without requiring a single overly complex universal correction system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements a dynamic correction system that adapts its correction strategy based on the detected skew type. The determination units identify whether first skew, second skew, or both are present, and the correction units dynamically apply appropriate correction transformations (first correction transformation for top/bottom, second correction transformation for left/right) to match the actual distortion pattern.

Inventive Principle:
Principle #15Dynamics

2Manufacturing precision

If multiple determination units are added to classify skew types, then the manufacturing precision of correction is improved, but the device complexity increases

Engineering Contradiction:
Improveskew detection accuracyVSAvoiddetermination system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The determination system is segmented into specialized determination units: a first determination unit for detecting first skew (top/bottom edge distortion) and a second determination unit for detecting second skew (left/right edge distortion). Each unit focuses on detecting a specific type of skew, improving detection accuracy for each skew pattern while keeping individual unit complexity manageable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces determination units as intermediary components that bridge the gap between raw scan images and the appropriate correction processes. These determination units analyze the scan image to identify skew types and generate control signals that direct the correction units to apply the appropriate correction transformation, thereby improving overall correction precision through systematic intermediate analysis.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8577174B2Image processing apparatus and method
Publication Date: 2013.11.05 HEWLETT PACKARD DEVELOPMENT COMPANY LP
  • US8577174B2 patent drawing
  • US8577174B2 patent drawing
  • US8577174B2 patent drawing

AI summary

An image processing apparatus includes a scanning unit for generating a scan image by scanning a document; a first determination unit to determine whether the scan image has a skew; a second determination unit to determine a type of the skew according to a determination result; and an image correction unit to perform a different type of correction on the scan image according to the type of the skew.