Digital Image Composition Ghost Elimination
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Solution Overview
Problem
Digital image composition methods often produce ghost images due to handshakes during shooting, as the subject's position changes between captured images, leading to inconsistent placement when images are directly composed.
Innovation Solution
A digital image composition method that captures a base image and a comparison image, calculates absolute error sum values for corresponding pixels, and adjusts brightness based on normalized region difference values to align and combine pixels effectively, eliminating ghost images by iteratively processing all pixels and combining them into a composed image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple digital images are composed to improve visual effect, then image quality is improved, but ghost images are produced due to subject position changes
Solution Approach 1:
The patent applies preliminary action by calculating and storing correspondence relationships between pixels in different images before the actual composition process. The system pre-computes which pixels correspond to each other based on feature point matching and geometric transformation, so that when images are composed, the pre-established correspondence guides the pixel alignment, preventing ghost images from forming due to subject position changes.
Solution Approach 2:
The patent implements feedback by using the calculated correspondence relationships to guide and adjust the image composition process. The system continuously references the pre-computed pixel correspondence data to ensure accurate alignment during composition, and can make adjustments based on the composition results to eliminate ghost images while maintaining image quality.
2Measurement precision
If pixel correspondence is calculated accurately to eliminate ghost images, then image alignment precision is improved, but processing time increases
Solution Approach 1:
The patent applies segmentation by dividing the image processing into distinct phases: first calculating correspondence relationships for feature points, then using these relationships to determine pixel correspondence, and finally performing the actual image composition. This segmentation allows the system to pre-compute alignment information efficiently and reuse it during composition, improving both precision and processing speed.
Solution Approach 2:
The patent uses preliminary action by pre-calculating the correspondence relationships between pixels in different images before the composition process. This pre-computation of geometric transformation parameters and pixel mapping relationships allows the actual image composition to proceed much faster, as the alignment information is already ready, thus reducing overall processing time while maintaining high precision.
Data Source
AI summary
A digital image composition method is adapted to eliminate a ghost image produced by a digital image-capturing apparatus due to handshakes in shooting. The method includes the steps. In a pre-shooting process, a base image and a comparison image are respectively captured. A base pixel is selected from the base image, and a core window is set with the base pixel at the center. A comparison pixel is selected from the comparison image, and a search window is set with the comparison pixel at the center. Each area of the search window is compared through the core window, and an absolute error sum value between the base image and the comparison image is calculated. It is determined how to change the brightness of the base pixel according to the normalized region difference value. The above steps are repeated to adjust each pixel in the base image.