Composite Image Background Selection via Homogeneous Texture Analysis
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Solution Overview
Problem
Users face difficulties in finding compatible backgrounds for composite images, as existing methods often result in aesthetically unacceptable results due to color incompatibility and texture issues, necessitating an improved method for customizing backgrounds that are relevant and compatible with the displayed digital images.
Innovation Solution
A method that automatically analyzes a group of digital images to select an appropriate image region from one of the images to use as a background, forming a composite image with improved viewer appeal by using a processor to identify and utilize image regions with homogeneous texture characteristics and compatible color distributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predefined background patterns are used for composite images, then the background selection process is simple and quick, but the backgrounds are often aesthetically unacceptable due to color incompatibility and texture issues
Solution Approach 1:
The system automatically analyzes the digital images themselves to extract color information and generate background patterns that are inherently compatible with the images. The background generation process serves itself by using the image data as the source for creating matching backgrounds, eliminating the need for manual color selection while ensuring aesthetic compatibility.
Solution Approach 2:
The system transforms the static predefined background patterns into dynamic, customized backgrounds by changing parameters such as color, texture, and pattern based on the analyzed image characteristics. This allows the background to adapt its parameters to match the specific digital images being displayed in the composite.
2Extent of automation
If color palettes are generated by analyzing image colors, then the color selection is automated, but the selected colors may not be suitable for background use (e.g., colors from textured areas or locations that do not complement a matte)
Solution Approach 1:
The system applies different analysis criteria to different regions of the image, selecting colors specifically from areas that are suitable for background use. Instead of treating all image areas equally, it identifies and prioritizes regions with homogeneous textures and colors that would complement a background matte, while excluding areas with complex textures or inappropriate color contexts.
Solution Approach 2:
The system incorporates user feedback mechanisms where users can indicate whether selected colors or backgrounds are acceptable or not. This feedback is used to refine and adjust the automated color selection process, improving the accuracy of future color selections by learning from user preferences and corrections.
Data Source
AI summary
A method for displaying a group of digital images using a background corresponding to an image region selected from one of the digital images, comprising: receiving a designation of the group of digital images to be displayed; using a processor to automatically analyze the group of digital images to select an image region from one of the digital images that is appropriate to use as a background for a composite image, wherein the selected image region includes a plurality of image pixels; forming a background from the selected image region; forming the composite image including the background and at least one digital image from the group of digital images; and displaying the composite image.