Image Boundary Adjustment for High-Quality Cut-Out and Deletion
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Solution Overview
Problem
Existing image processing methods result in poor image quality when cutting out areas from images due to shading off background pixels, leading to translucent edges and inclusion of unwanted background, making precise deletion or addition challenging and stressful for operators.
Innovation Solution
An image processing method that selectively shades off mask images by altering the boundary area, either reducing or enlarging it slightly, to exclude undesirable background and ensure high-quality cut-out or deletion, using a computer program executed on an image processing apparatus with user input and display capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If shading off processing is applied to background pixels around the boundary, then jaggedness of the image edge is suppressed, but the background pixels become translucent and the processed part becomes noticeable
Solution Approach 1:
The patent applies different shade-off strategies to different regions: the boundary area receives shade-off processing to smooth edges, while the background area surrounding the boundary does not receive shade-off processing to maintain transparency. This local differentiation resolves the contradiction by preventing background pixels from becoming translucent while still achieving edge smoothness.
2Ease of operation
If the operator specifies an area including the cut-out target image as much as possible, then the cut-out boundary part contains background image, but shading off makes the background image area extend and results in poor image quality
Solution Approach 1:
The patent performs preliminary boundary expansion before shade-off processing. By expanding the boundary area definition before applying shade-off, the system ensures that only the necessary boundary region receives shade-off treatment, preventing unwanted background extension while maintaining ease of operation.
3Ease of manufacture
If shading off is applied to delete an area from an image, then the edge part contrast is degraded, but complete deletion of the desired part becomes impossible
Solution Approach 1:
The patent applies preliminary boundary expansion before shade-off processing in deletion operations. This expansion ensures that the boundary area is sufficiently large before shade-off is applied, maintaining edge contrast while enabling complete deletion of the desired part.
Data Source
AI summary
This invention relates to an image processing method and image processing apparatus for improving the image quality of the boundary part of an image cut-out or deletion area. According to this method, an area specified by a user as a cut-out or deletion target area is slightly reduced or enlarged to eliminate an undesirable background area. In image cut-out, the cut-out image side is shaded off. In image deletion, the background image side is shaded off. This increases the image quality at the joint between the boundary part of the cut-out image and an image to be composited. The image quality between the remaining background image and the deletion part also improves.


