Abstract | ||
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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. |
Year | DOI | Venue |
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2006 | 10.1109/TIP.2005.863958 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
panoramic image,stitching quality,good image stitching,image part,gradient domain,formal cost function,false edge,input image,possible stitching,various application,seamless image,cost function,algorithms,lighting,photometry,layout,machine vision,artificial intelligence,data compression,image resolution,computer science,image segmentation | Similitude,Computer vision,Image stitching,Compression artifact,Pattern recognition,Computer science,Image processing,Image segmentation,Panoramic photography,Artificial intelligence,Data compression,Image resolution | Journal |
Volume | Issue | ISSN |
15 | 4 | 1057-7149 |
Citations | PageRank | References |
52 | 3.31 | 15 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Assaf Zomet | 1 | 725 | 57.51 |
Anat Levin | 2 | 3578 | 212.90 |
Shmuel Peleg | 3 | 576 | 40.65 |
Yair Weiss | 4 | 10240 | 834.60 |