Show-through Correction in Image Reading Apparatus
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Solution Overview
Problem
Existing image reading technologies face challenges in effectively reducing show-through of images on documents, particularly when dealing with mixed content like text and photographs, as excessive correction can degrade image quality, while insufficient correction fails to adequately address the issue.
Innovation Solution
An image reading apparatus with a setting unit that determines the show-through correction amount based on the document type, using a multifunctional peripheral with a scanner, user interface, and image processing unit to automatically adjust the show-through removal intensity according to the document content, such as setting it high for text documents, medium for mixed content, and low for photographic images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the correction amount for show-through is excessively increased, then the influence of show-through is reduced, but image quality of photographic images declines
Solution Approach 1:
The system applies different correction amounts to different regions of the document based on content type detection. Text regions receive higher correction amounts while photographic image regions receive lower correction amounts, allowing localized optimization for each content type within the same document.
Solution Approach 2:
The correction amount parameter is dynamically adjusted based on the detected content type. The system changes the correction parameter from a fixed value to a variable value that adapts to the specific document content, selecting appropriate correction levels for text versus photographic regions.
2Manufacturing precision
If the correction amount for show-through is excessively decreased, then image quality of photographic images is maintained, but the influence of show-through cannot be sufficiently reduced
Solution Approach 1:
Different correction amounts are applied to different regions based on content type. Text regions receive higher correction amounts while photographic regions receive lower correction amounts, optimizing the balance between show-through removal and image quality preservation for each region.
Solution Approach 2:
The correction amount parameter is dynamically changed according to the detected content type, transitioning from a uniform correction approach to a content-adaptive correction approach that adjusts parameters based on regional content characteristics.
3Ease of operation
If a user manually sets the correction amount, then flexibility is provided, but the user must recognize the relationship between document image type and show-through correction
Solution Approach 1:
The system automatically detects the content type and determines the appropriate correction amount without requiring user intervention. The correction unit performs self-service by autonomously analyzing the document content and applying suitable correction parameters, eliminating the need for users to understand the complex relationship between content type and correction amount.
Solution Approach 2:
The system incorporates automatic feedback mechanisms where the detection unit analyzes document content and provides feedback to the correction unit, which then adjusts correction parameters accordingly. This closed-loop system eliminates the need for manual user judgment while maintaining optimal correction performance.
Data Source
AI summary
An image processing method includes correcting a show-through of a document image, and setting a document type, wherein a correction amount for the document image is changed based on the set document type.