| 摘要 |
An algorithm for finding regions of interest (ROI) in images and photos based on an information driven approach in which sub-blocks of an image are analyzed for information content or compressibility based on the discrete cosine transform. The sub-blocks of low compressibility are grouped into ROIs using a morphological technique. Unlike other algorithms that are geared for highly specific types of ROI (e.g. face detection), the method of the present invention is generally applicable to arbitrary images and photos. A center-weighted variation of the algorithm can produce better results for certain photo applications. The algorithm can be used with several other image applications, including Stained-Glass collages and Pan-and-Scan presentations.
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