Adaptive Image Scaling via Dynamic Intermediate Pixel Filtering
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Solution Overview
Problem
Conventional image scaling methods fail to effectively enhance image quality by generating intermediate pixels using fixed filters, leading to artifacts such as jagging and overshoot, which compromise edge and detail preservation.
Innovation Solution
An image scaling method and apparatus that dynamically generate intermediate pixels and determine filters based on image characteristics, allowing for variable positions, distribution, and coefficients to maintain edge and detail components, preventing artifacts and enhancing image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed filters are used to generate intermediate pixels, then the scaling process is simple and fast, but image quality deteriorates due to artifacts such as jagging and overshoot
Solution Approach 1:
The patent applies dynamics by transitioning from fixed filters to adaptive filters that dynamically adjust their characteristics based on local image content. The filter selection and parameter adjustment occur automatically during the scaling process, allowing the system to adapt to different regions (edges, smooth areas, textures) without manual intervention, thus resolving the contradiction between simplicity and quality.
Solution Approach 2:
The patent implements local quality by applying different filter characteristics to different regions of the image based on local image characteristics. Edge regions receive filters optimized for preserving sharp transitions, while smooth regions use filters that prevent artifacts. This localized adaptation allows high quality processing without uniformly complex operations across the entire image.
2Manufacturing precision
If adaptive filters are used to generate intermediate pixels, then image quality improves, but the complexity of the scaling process increases
Solution Approach 1:
The patent applies self-service by implementing automatic filter selection and parameter adjustment systems that analyze image characteristics and configure appropriate filters without external intervention. The system determines filter types, orientations, and parameters autonomously based on detected edge directions, regional characteristics, and pixel relationships, reducing the perceived complexity for users while maintaining adaptive quality.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting filter parameters (such as kernel size, orientation, and coefficients) based on detected image characteristics. The system changes filter parameters adaptively according to local edge directions, regional variance, and pixel relationships, allowing complex adaptive behavior through systematic parameter modification rather than complex algorithmic structures.
3Use of energy by moving object
If conventional interpolation is used, then the processing is computationally efficient, but edge and detail components are not preserved
Solution Approach 1:
The patent applies preliminary action by performing edge detection and characteristic analysis before the actual filtering operation. The system identifies edge directions, regional characteristics, and appropriate filter parameters in advance, then applies pre-configured filters that are optimized for the detected features. This preliminary preparation enables efficient processing while maintaining edge preservation, as the appropriate filters are ready before processing each region.
Solution Approach 2:
The patent implements segmentation by dividing the image into regions with similar characteristics (edge regions, smooth regions, texture regions) and applying appropriate filters to each segment. The system segments the processing task based on detected features, allowing computationally efficient handling of each region with specialized filters rather than applying complex algorithms uniformly across the entire image.
Data Source
AI summary
An image scaling apparatus and method, with enhancement of image quality. The method includes generating a plurality of intermediate pixels positioned near a plurality of resultant pixels to be generated to scale an input image using pixels of the input image; determining the image characteristics of the plurality of resultant pixels using a predetermined region of the input image or the plurality of intermediate pixels within the predetermined region; determining a filter for generating the plurality of resultant pixels based on the image characteristics with respect to the resultant pixels, and generating the plurality of resultant pixels through filtering of the plurality of intermediate pixels using the determined filter. The apparatus includes an intermediate pixel generation unit which generates a plurality of intermediate pixels. A filter determination unit determines a filter for generating the plurality of resultant pixels. A resultant pixel generation unit generates the plurality of resultant pixels.