Image Processing Device Effect Selection via Flow Vector Analysis
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Solution Overview
Problem
As image capturing devices improve, users capture a variety of high-quality images, requiring not only effects to eliminate monotony and blur but also effects tailored to each image's specific features.
Innovation Solution
An image processing device and method that selects effects based on image features through image analysis, including flow vector detection, coherency analysis, and face detection, to apply appropriate artistic or zoom effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic image effects are applied to all images, then the processing is simple and fast, but the effects do not match specific image features and reduce visual appeal
Solution Approach 1:
The patent performs image analysis (detecting flow vectors, coherency, and face presence) before selecting and applying effects. This preliminary analysis enables the system to adapt effects to specific image features rather than applying generic effects, resolving the contradiction between adaptability and complexity by preparing image characteristics in advance for informed effect selection
Solution Approach 2:
The system changes the parameter of effect selection from fixed/generic to dynamic/image-specific by analyzing image parameters (flow vector coherency, face detection results) and selecting effects based on these parameters. This allows the same processing device to adaptively choose different effects for different images, achieving versatility without proportionally increasing complexity
2Reliability
If zoom effect is applied to images with flow vanishing points, then immersion is improved, but distortion occurs in images without appropriate flow patterns
Solution Approach 1:
The system detects flow vectors and calculates their coherency to determine whether an image has a flow vanishing point pattern suitable for zoom effects. This feedback mechanism prevents applying zoom effects to inappropriate images, ensuring reliability by only applying effects when image analysis confirms suitability, while maintaining simplicity through automated detection rules
Solution Approach 2:
The patent performs preliminary detection of flow vectors and coherency analysis before applying zoom effects. This preliminary action identifies images with appropriate flow patterns, ensuring that zoom effects are only applied when they will produce immersion without distortion, thereby improving reliability while keeping the processing rule-based and simple
3Adaptability or versatility
If artistic effects are applied to enhance visual appeal, then image features are enhanced, but unwanted distortions occur in inappropriate images
Solution Approach 1:
The system changes from applying fixed artistic effects to dynamically selecting effects based on image parameters such as face detection results and flow vector coherency. This parameter-based selection ensures effects are customized to match image features, enhancing visual appeal while avoiding distortions by preventing application of inappropriate effects to unsuitable images
Solution Approach 2:
The patent uses feedback from image analysis (face detection, flow coherency measurement) to determine whether artistic effects should be applied and which type of effect is appropriate. This feedback mechanism prevents harmful distortions by only applying effects when image characteristics indicate suitability, while achieving adaptability through feature-based effect selection
Data Source
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AI summary
[Object] To select an effect process appropriately according to a feature of an image. [Solution] Provided is an image processing device including a flow vector detection unit configured to detect flow vectors of pixels in an input image, and an effect selection unit configured to select a process of effect to the input image, on the basis of a pattern of the flow vectors.