Image Processing Apparatus Automatic Setting Selection
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Solution Overview
Problem
Users face difficulty in selecting appropriate settings for image reading apparatuses due to the vast number of options available, which vary by application and medium type, leading to suboptimal image quality.
Innovation Solution
An information processing apparatus and image reading apparatus system that stores setting information and image data for various applications and media, allowing for the extraction and output of suitable settings based on similarity analysis between input images and stored sample images, facilitating intuitive selection of optimal settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple settings are provided for different applications and medium types, then image quality is improved, but device complexity increases
Solution Approach 1:
The image reading apparatus automatically detects medium type and application, then autonomously selects and applies the most appropriate settings without requiring manual user configuration. The system serves itself by making intelligent decisions based on detected characteristics, eliminating the need for users to navigate complex setting options while maintaining high image quality.
Solution Approach 2:
The system dynamically adjusts imaging parameters such as resolution, color depth, and processing algorithms based on detected medium type and application requirements. By automatically changing these parameters according to the situation, the system delivers optimized image quality for each specific case without exposing users to the underlying complexity of parameter selection.
2Adaptability or versatility
If users manually select settings from various options, then settings can be customized, but ease of operation deteriorates
Solution Approach 1:
The system automatically performs the setting selection task that would otherwise require user intervention. By detecting medium characteristics and application context, the system self-determines the optimal settings and applies them automatically, freeing users from the burden of understanding and selecting from multiple setting options while still achieving customized, optimized results.
Solution Approach 2:
The system pre-configures multiple sets of optimized settings for different medium types and applications before the user needs them. When a medium is inserted, the system quickly matches it against the pre-prepared setting profiles and applies the appropriate one, eliminating the need for users to manually configure settings during operation.
3Ease of operation
If automatic setting selection is implemented, then ease of operation is improved, but loss of information increases
Solution Approach 1:
The system incorporates feedback mechanisms that allow users to review the automatically selected settings before final execution. Users can view the detected medium characteristics, the selected application type, and the proposed settings, then confirm or modify them if needed. This feedback loop ensures that automatic setting selection maintains accuracy while preserving user control and preventing information loss.
Data Source
AI summary
An information processing apparatus includes a storage device to store, for a plurality of sample media, for each of a plurality of applications, setting information relating to imaging of a medium or an image processing, and image information relating to a sample image generated according to the setting information, a communication device, and a processor to receive an input image from an image reading apparatus via the communication device, extract a predetermined number of sample media in a descending order of a similarity between a corresponding sample image and the input image, from among the plurality of sample media, based on the image information, identify the setting information for each of the plurality of applications for each of the extracted predetermined number of sample media, and output the identified setting information for each of the plurality of applications.