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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenhao Wu Zhen Yan |
| Copyright Year | 2010 |
| Description | Author affiliation: College of Information Science and Technology Nanjing University of Aeronautics and Astronautics (Zhen Yan) || School of Computer Science, Fudan University Handan Road 220, Shanghai, China (Wenhao Wu) |
| Abstract | We present a new approach for adjusting the entire tonal values and other appearance parameters in an image. In our framework, the user just indicates regions of interest by drawing some rough strokes and then adjusts the hue, brightness, color, and other parameters in these regions. A hierarchical interpolation formulation is used to propagate the initial adjustment to the entire image by enforcing the policy that similar edits are applied to spatially-close regions of similar appearance. We show that our hierarchical clustering is a novel and efficient method for approximately solving the propagation process. The propagation approach developed in this paper is a general one, and also used to support specifying a wide range of complex images. Furthermore, we show that for high-resolution images the proposed method outperforms prior methods which just take a few seconds. |
| Starting Page | 1124 |
| Ending Page | 1128 |
| File Size | 1467841 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424465132 |
| e-ISBN | 9781424465163 |
| DOI | 10.1109/CISP.2010.5646853 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation interpolation Image color analysis propagation Image edge detection Brightness Clustering algorithms Materials hierarchical clustering adjustment Pixel |
| Content Type | Text |
| Resource Type | Article |
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