Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Efficient gradient-domain compositing using quadtrees
ACM SIGGRAPH 2007 papers
A Unified Paradigm For Scalable Multi-Projector Displays
IEEE Transactions on Visualization and Computer Graphics
PDF document restoration and optimization during image enhancement
Proceedings of the eighth ACM symposium on Document engineering
Stitching videos streamed by mobile phones in real-time
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Mobicast: a system for collaborative event casting using mobile phones
Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia
Natural and seamless image composition with color control
IEEE Transactions on Image Processing
A unified gradient domain method for seamless image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A Distortion-Sensitive Seam Carving Algorithm for Content-Aware Image Resizing
Journal of Signal Processing Systems
Panoramas from partially blurred video
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
New algorithms for convex cost tension problem with application to computer vision
Discrete Optimization
Manifold Modeling and Its Application to Tubular Scene Manifold Mosaicing Algorithm
Journal of Mathematical Imaging and Vision
Stitching line and deformation propagation for seamless image stitching
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Synthetic Video Generation for Evaluation of Sprite Generation
International Journal of Multimedia Data Engineering & Management
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Various applications such as mosaicing and object insertion require stitching of image parts. The stitching quality is measured visually by the similarity of the stitched image to each of the input images, and by the visibility of the seam between the stitched images. In order to define and get the best possible stitching, we introduce several formal cost functions for the evaluation of the stitching quality. In these cost functions the similarity to the input images and the visibility of the seam are defined in the gradient domain, minimizing the disturbing edges along the seam. A good image stitching will optimize these cost functions, overcoming both photometric inconsistencies and geometric misalignments between the stitched images. We study the cost functions and compare their performance for different scenarios both theoretically and practically. Our approach is demonstrated in various applications including generation of panoramic images, object blending and removal of compression artifacts. Comparisons with existing methods show the benefits of optimizing the measures in the gradient domain.