Image Processing Program Weighting Displacement
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Solution Overview
Problem
Conventional image processing methods for generating high-resolution composite images from multiple images with positional displacement are time-consuming due to repetitive processing, leading to prolonged processing times and potential false colors.
Innovation Solution
An image processing program that calculates weighting information based on positional displacement and local inflection information for each color component, allowing for efficient generation of high-resolution composite images without repetitive processing, and further enhances image quality through super-resolution processing using the composite image as an initial image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional repeating processing is used to generate high-resolution composite images, then image quality can be improved, but processing time is prolonged
Solution Approach 1:
The patent performs alignment and weighting information calculation in advance before the actual image composition. By pre-calculating the positional relationships and weighting factors for each color component, the system avoids repetitive calculations during the image generation process, thus reducing processing time while maintaining high resolution output
Solution Approach 2:
The patent divides the image processing into separate color component channels (R, G, B) and processes each independently with specific weighting. This segmentation allows parallel processing of different color channels and avoids redundant computations across the entire image, improving processing efficiency while preserving image quality
2Manufacturing precision
If conventional image processing is used, then composite images can be generated, but false colors may occur
Solution Approach 1:
The patent applies different weighting values to different spatial locations and color components based on local characteristics. By calculating weighting information specific to each position and color channel, the system preserves local color accuracy and prevents false color artifacts that occur with uniform processing approaches
Solution Approach 2:
The patent dynamically adjusts weighting parameters for each color component based on positional displacement and local image characteristics. This parameter optimization ensures accurate color reconstruction while minimizing false color effects, improving overall image quality
Data Source
AI summary
A storage medium storing an image processing program in which the image processing program obtains a plurality of images and displacement information indicating a positional displacement between the plurality of images, calculates weighting information for performing weighting processing on the displacement information for each of a plurality of color components, performs the weighting processing on the displacement information for each of the plurality of color components, calculates a pixel value of a color component of a calculation target based on local inflection information of a color component other than the color component of the calculation target and the weighting information after conducting the weighting processing, and generates a composite image based on a calculation result. Accordingly, it is possible to reduce a processing time in image processing which generates, from the plurality of images having the positional displacement, the composite image having a higher resolution than those images.