Iterative Frequency Emphasis for Composite Image Feature Enhancement
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Solution Overview
Problem
Existing image processing technologies face defects in generating composite images when imaging targets have flat surfaces with little unevenness or color variation, leading to insufficient feature information for accurate image merging.
Innovation Solution
An image processing apparatus and method that iteratively determines the presence of imaging targets and performs frequency emphasis processing using a processor, which includes convolution operations with a mask filter or Fourier transforms, to enhance feature points and ensure sufficient feature information for composite image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency emphasis processing is performed on all images, then feature information is enhanced, but processing time increases
Solution Approach 1:
The patent changes the parameter of image processing by selectively applying frequency emphasis processing only to images containing imaging targets, rather than processing all images uniformly. This parameter change optimizes the balance between feature information quality and processing time
Solution Approach 2:
The system performs self-service by automatically detecting whether images contain imaging targets and making decisions about processing requirements. The imaging apparatus itself determines which images need frequency emphasis processing based on target detection results
2Manufacturing precision
If iterative processing is performed to ensure sufficient feature information, then composite image quality improves, but processing complexity increases
Solution Approach 1:
The patent implements feedback control by iteratively checking whether feature information satisfies predetermined conditions and repeating frequency emphasis processing only when necessary. The system uses feedback from feature information evaluation to control the processing loop
Solution Approach 2:
The system applies partial action by performing frequency emphasis processing only on specific images that contain imaging targets and only when feature information is insufficient, rather than applying excessive processing to all images regardless of need
3Measurement precision
If feature information is enhanced through frequency emphasis processing, then image merging accuracy improves, but computational load increases
Solution Approach 1:
The patent applies local quality by enhancing feature information only in specific regions where imaging targets are detected, rather than uniformly processing entire images. This local approach improves merging accuracy where needed while reducing overall computational load
Data Source
AI summary
An image processing apparatus includes a processor, and the processor is configured to make a determination whether or not imaging targets are included in generation target images used for generation of a composite image among a plurality of images obtained by imaging the imaging targets from a plurality of positions and feature information required for the generation satisfies a predetermined condition, and perform frequency emphasis processing on the generation target images in a case where the feature information satisfies the predetermined condition. The determination and the frequency emphasis processing are iterated until the feature information does not satisfy the predetermined condition.