Image Upsampling via Overlapping Pixel Weighting
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Solution Overview
Problem
Mobile electronic devices face challenges in generating high-quality up-sample images with increased pixel density while maintaining image quality, as existing methods are complex and inefficient.
Innovation Solution
An image processing method that overlaps the up-sample image with the original image, derives pixel values using proportional weights based on overlapping pixels, and calculates pixel values for the up-sample image, allowing for simple generation of high-quality images with higher pixel density by merging zoom-in images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing up-sample methods are used to increase pixel density, then image resolution is improved, but processing complexity and computational efficiency deteriorate
Solution Approach 1:
The patent segments the up-sample process into distinct operational phases: identifying overlapping pixel regions between original and up-sample images, calculating proportions for each overlapping region, and computing pixel values based on these proportions. This segmentation transforms a complex monolithic process into manageable discrete steps, reducing processing complexity while maintaining image quality enhancement.
2Quantity of substance
If complex existing methods are used to generate up-sample images, then pixel density is improved, but processing time and efficiency deteriorate
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically identifies overlapping pixel regions and computes the necessary proportions without requiring manual intervention or complex external processing. The processing unit autonomously calculates pixel values by deriving proportions from overlapping regions, enabling efficient up-sampling that increases pixel amount while maintaining high processing throughput.
3Device complexity
If simple up-sample methods are used, then processing complexity is reduced, but image quality deteriorates
Solution Approach 1:
The patent employs parameter changes by dynamically calculating proportions for each overlapping pixel region between the original and up-sample images. Instead of using fixed interpolation parameters, the system adjusts the weighting parameters based on the actual overlap geometry and pixel correspondence, achieving high image quality with a relatively simple processing framework that doesn't require complex algorithms.
Data Source
AI summary
Provided is an image processing method adapted for a mobile electronic device. The image processing method includes the steps of: deriving an original image; and executing a calculating procedure according to the original image to derive an up-sample image. The calculating procedure includes the steps of: making the up-sample image to be overlapped with the original image; deriving pixels of the original image overlapped with an nth pixel of the up-sample image and pixel values of the pixels; deriving a proportion between each of the pixels of the original image (that overlapped with the nth pixel of the up-sample image) and the nth pixel, and setting the proportion as a weight; and calculating a pixel value of the nth pixel of the up-sample image according to the pixel values of the pixels of the original image overlapped with the nth pixel of the up-sampling image and the corresponding weight.