Localized Seam Carving for Object-Preserving Image Insertion
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Solution Overview
Problem
Existing image editing techniques using seam carving often result in undesirable artifacts or obscuration of existing objects when inserting an object between them, lacking localization and requiring high skill levels for accurate placement.
Innovation Solution
Perform localized seam carving by identifying low energy regions within an image to expand and insert objects, using a bounding box to determine seam duplication, and automating the selection of slices for seamless integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If seam carving is performed globally across the entire image, then image resizing is achieved, but existing objects become distorted or obscured
Solution Approach 1:
The image is segmented into multiple regions based on energy values, identifying low-energy regions suitable for seam carving and high-energy regions containing important objects. This segmentation allows selective application of seam carving operations only in appropriate areas, preventing distortion of important objects while maintaining image resizing capability
Solution Approach 2:
Different quality requirements are applied to different regions of the image. Low-energy regions undergo seam carving operations for resizing, while high-energy regions containing objects are protected from such operations. This local differentiation ensures that object integrity is maintained in critical areas while still achieving overall image resizing
2Measurement precision
If manual placement of objects is performed to avoid artifacts, then object placement accuracy is improved, but user skill level and operation complexity increase
Solution Approach 1:
The system automatically performs object placement by identifying suitable low-energy regions and inserting objects there without requiring manual user intervention. The algorithm self-determines optimal placement locations based on energy values, eliminating the need for users to manually position objects while maintaining high placement accuracy and avoiding artifacts
3Area of stationary object
If the low energy region is expanded to accommodate the object, then object insertion space is increased, but the region dimensions must be carefully controlled
Solution Approach 1:
The low-energy region is dynamically expanded only to the extent necessary to accommodate the inserted object. The expansion is controlled by comparing the object's bounding box dimensions with the region dimensions, adding pixels only where needed while maintaining precise dimensional control and preventing excessive expansion that would distort the image
Data Source
AI summary
Embodiments are disclosed for performing localized seam carving, the image including multiple low activity regions. The method includes obtaining an image. A selection of a point of interest and a requested adjustment is received. A set of seams that are present in the low activity region are selected, with each seam including a connected path of pixels and each pixel having low activity. An adjusted set of seams is generated by duplicating or removing one or more seams from the set of seams using the adjustment. The set of seams in the low activity region is replaced by the adjusted set of seams. An updated image including the low activity region with the adjusted set of seams is output.