Image Acquisition for Accurate Style and Atmosphere Transformation
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Solution Overview
Problem
Existing image processing techniques struggle to appropriately acquire a second image with a different painting style and impression from a first image, particularly when insufficient information is available, and fail to accommodate various types of first images.
Innovation Solution
An image acquisition device and method that utilize a processor to acquire first information from the first image, determine second information based on the first image, and generate or convert the second image using machine learning and user input to achieve desired atmospheric and compositional changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing image processing techniques are used to convert a first image into a second image with different painting style, then the transformation capability is provided, but the accuracy and appropriateness of the generated second image deteriorates due to insufficient information
Solution Approach 1:
The system performs preliminary analysis of the first image to extract multiple types of information (skeleton information, composition information, atmosphere information) before generating the second image. This preliminary information extraction ensures that sufficient and accurate data is available for the subsequent image transformation, resolving the contradiction between transformation capability and generation accuracy.
Solution Approach 2:
The patent segments the image transformation process into distinct information acquisition steps: acquiring skeleton information, composition information, and atmosphere information separately. This segmentation allows each information type to be optimized and processed independently, improving the overall accuracy of the second image generation while maintaining transformation versatility.
2Manufacturing precision
If multiple information items are collected for virtual image acquisition, then the image generation quality improves, but the system complexity increases
Solution Approach 1:
The patent employs a universal information acquisition mechanism that extracts multiple types of information (skeleton, composition, atmosphere) using a single integrated processing framework. This multi-functional approach allows the system to gather comprehensive information for high-quality virtual image generation without proportionally increasing system complexity, as the same processing infrastructure handles all information types.
3Adaptability or versatility
If the system is designed to handle various types of first images, then the versatility improves, but the difficulty of information acquisition increases
Solution Approach 1:
The system adapts its information extraction parameters and processing methods based on the type of first image received. By dynamically adjusting extraction parameters according to image characteristics (e.g., adjusting skeleton detection thresholds for different image styles), the system maintains high versatility across image types while managing information extraction difficulty through parameter optimization rather than requiring fundamentally different processing pipelines.
Data Source
AI summary
An object of the present invention is to provide an image acquisition device, an image acquisition method, a program, and a recording medium for appropriately acquiring a second image based on a first image.An image acquisition device for acquiring a second image based on a first image includes a processor, in which the processor is configured to execute a process of acquiring first information related to a feature of an image, a process of acquiring second information based on the first information and the first image, and a process of acquiring the second image based on the second information.