Image Selection for Monochromatic Output Using Color Analysis
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Solution Overview
Problem
Existing image selection techniques do not consider output color, leading to unintended image selection and increased workload for users, especially in applications like photo-books where design and color coordination are crucial.
Innovation Solution
An image processing apparatus and method that determines image selecting conditions based on set output color, specifying and selecting images from a group based on these conditions to ensure images are output in the user's intended color, using units for determining, specifying, and selecting images based on brightness, saturation, and landscape analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image selection is performed without considering output color, then any image can be selected from the group, but the selected image may not be suitable for the user's intended output color
Solution Approach 1:
The system performs preliminary color analysis on all images in the group before user selection, calculating color metrics and determining suitability for the specified output color. This preliminary processing enables the system to automatically filter or rank images based on color compatibility, ensuring that only color-appropriate images are presented to the user for selection.
2Reliability
If images are converted into different output color manually, then color suitability can be ensured, but beginners will have heavy workload and take a lot of time
Solution Approach 1:
The system automatically performs color conversion assessment and suitability determination without requiring user intervention. The color analysis unit autonomously evaluates each image's compatibility with the output color, and the selection unit automatically identifies suitable images, eliminating the need for manual color conversion work that would burden beginners.
3Manufacturing precision
If manual color conversion is required for each image, then color accuracy can be achieved, but the workload and time required increase significantly
Solution Approach 1:
The system replaces manual mechanical color conversion operations with automated computational color analysis. The color analysis unit uses image processing algorithms to automatically assess color properties and determine suitability for the output color, substituting the manual mechanical process of converting and evaluating each image with an automated computational system that maintains color accuracy while dramatically reducing operational complexity.
Data Source
AI summary
An image processing apparatus and an image processing method are provided which are capable of selecting an image to be printed in a user's intended color. The image processing apparatus of the present invention includes: a selecting condition setting unit configured to prepare an image selecting condition depending on set output color in printing; a selection DB specifying unit configured to specify a group of images for image selection based on the image selecting condition; and further an image selecting unit configured to select an image from the specified group of images based on the image selecting condition.


