Digital Image Scaling Using Segmented Visual Elements
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Solution Overview
Problem
Existing digital image scaling methods often result in loss of clarity and sharpness, especially when resizing images, and are limited to reducing image size rather than enlarging it, while also requiring excessive storage for multiple versions of images.
Innovation Solution
A method that separates visual elements into groups and applies different scaling techniques, using a combination of algorithms and pre-drawn images to resize elements, allowing for both enlargement and reduction of image size while maintaining clarity and managing file size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional scaling algorithms are used to resize images, then image size can be changed, but clarity and sharpness of visual elements are lost
Solution Approach 1:
The patent divides the image into multiple visual elements and groups them based on their characteristics (e.g., small detailed elements vs. large elements). Different scaling techniques are then applied to different groups: pre-drawn images are used for small elements to maintain sharpness, while traditional scaling algorithms are applied to large elements. This segmentation allows the system to preserve image quality while achieving size adjustment.
Solution Approach 2:
The patent applies different scaling methods to different parts of the image based on their specific requirements. Small visual elements that require sharpness are handled differently from large elements. By selecting appropriate scaling techniques for each local region, the system maintains overall image quality while enabling flexible size adjustment.
2Manufacturing precision
If multiple versions of images at all possible resolutions are prepared, then image quality is maintained, but storage requirements become excessive
Solution Approach 1:
The patent pre-creates a library of pre-drawn images at multiple resolutions for small visual elements. This preliminary preparation allows the system to quickly select appropriate pre-drawn images during resizing operations rather than generating new versions on demand. The pre-drawn images are stored efficiently and can be rapidly retrieved based on the required output size, reducing the need to maintain all possible image versions simultaneously.
Solution Approach 2:
Instead of creating multiple versions of the entire image at all resolutions, the patent uses copies of pre-drawn visual elements that can be selectively combined. This approach maintains image quality by using high-resolution pre-drawn elements when needed while reducing storage requirements by only storing the pre-drawn elements rather than complete image versions at all resolutions.
3Ease of operation
If existing scaling methods are used, then image size can be reduced, but the ability to enlarge images is limited
Solution Approach 1:
The patent implements a dynamic scaling system that can adapt its behavior based on the required output size. When enlargement is needed, the system selects from pre-drawn images at appropriate resolutions. When reduction is needed, the system uses traditional scaling algorithms. This dynamic approach allows the same system to handle both enlargement and reduction operations effectively.
Solution Approach 2:
The patent creates a universal image scaling system that can perform multiple functions: enlargement, reduction, and quality preservation. By combining pre-drawn image libraries with traditional scaling algorithms, the system becomes multi-functional, capable of handling various resizing scenarios that were previously addressed by separate tools or methods.
Data Source
AI summary
Methods, computer devices, and computer readable media containing instructions for executing such methods are provided for the modification of digital images having a plurality of visual elements.