Non-uniform Image Resizer for Aspect Ratio Conversion
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Solution Overview
Problem
Digital cameras in mobile devices often capture images in a 4:3 aspect ratio, which can lead to distortion when scaled to fit widescreen 16:9 aspect ratio displays, necessitating a non-uniform image resizing method to minimize distortion.
Innovation Solution
A method and resizer configuration that applies a non-uniform scale factor and error correction values to define pixel locations, allowing for both uniformly and non-uniformly scaled regions in the output image, thereby minimizing distortion during aspect ratio conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If uniform scaling is applied to convert 4:3 aspect ratio images to 16:9 aspect ratio displays, then the image fills the entire screen, but unwanted and unsightly distortion occurs
Solution Approach 1:
The patent divides the image into multiple regions with different scaling characteristics. Specifically, it segments the image into a central region that maintains uniform scaling (preserving aspect ratio) and peripheral regions that are stretched or compressed to fill the 16:9 display area. This segmentation allows different parts of the image to be scaled differently, avoiding uniform distortion while maximizing screen coverage.
Solution Approach 2:
The patent applies different scaling qualities to different regions of the image. The central region (containing the focal point) receives uniform scaling with high quality to maintain clarity, while peripheral regions receive non-uniform scaling adapted to the display geometry. This local differentiation optimizes both image quality and screen coverage by tailoring the scaling approach to the importance and position of different image areas.
2Manufacturing precision
If the focal point clarity is maintained during scaling, then distortion in the central region is minimized, but the overall image may not fill the entire display screen
Solution Approach 1:
The patent segments the display area into a central focal region and peripheral regions. The central region is scaled uniformly to preserve focal point clarity, while peripheral regions are scaled non-uniformly to extend the image coverage to the full display area. This segmentation resolves the contradiction by allowing different regions to serve different purposes.
Solution Approach 2:
The patent applies high-quality uniform scaling locally to the central focal region to maintain clarity, while applying adaptive non-uniform scaling to peripheral regions to maximize display coverage. This local quality differentiation allows the focal point to remain sharp while the overall image fills the screen.
Data Source
AI summary
A method for producing a scaled output image by manipulating image data from an input image is disclosed. The scaled output image can have non-uniformly scaled regions and a uniformly scaled region. The method includes an operation that defines pixel locations within the uniformly scaled region of the output image based on uniformly scaling a portion of the input image. There is also an operation that determines a non-uniform scale factor. The non-uniform scale factor is used to define a gap between pixel locations within the non-uniformly scaled regions. Another operation determines error correction values within the non-uniformly scaled regions. The method can also include an operation that defines pixel locations for the non-uniformly scaled region of the output image based on increments of the non-uniform scale factor and error correction values.