A novel image content protection method
| Autor: | Rongchun Zhao, Xiao-Qing Xia, Wei Feng |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
business.industry
Color image Computer science Segmentation-based object categorization Binary image Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Pattern recognition Image processing Image segmentation Automatic image annotation Image texture Segmentation Artificial intelligence business Digital watermarking Feature detection (computer vision) |
| Zdroj: | Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826). |
| DOI: | 10.1109/icmlc.2004.1384541 |
| Popis: | A novel image content protection (ICP) method is proposed in this paper. To satisfy the fundamental requirement for ICP, i.e. being robust to non-content operations and sensitive to content tampers simultaneously, a pixel-level image content map (PICM) is extracted by dynamic weighted averaging. Then, a regional image content map (RICM) is derived through segmentation of PICM and its invariant moments are converted to watermarking bit stream that is embedded in the source image robustly to achieve protection of the content. Various experiments show that the hierarchical content representation, i.e. P-RICM, and its invariant moments have excellent performance in ICP, and our method meets the fundamental criterion well. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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