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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongli Zhu Zhengya Xu |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Comput. Sci. & Technol., North China Electr. Power Univ. (Yongli Zhu; Zhengya Xu) |
| Abstract | An adaptive low complexity lossless segment (context) based color image compression method is proposed by this paper. First, adaptive context based dividing for an image is conducted to find optimal fixed length codes that are used for storing relative values of every pixel in each segment of the image and the length for each segment by a modified greedy algorithm. Then a modified Huffman coding is applied for the result of the first compression. The complexity of the first compression for the developed method is O(n). The developed method was tested by a typical set of natural images. For some type of images, the compression ratios are very high |
| Starting Page | 1310 |
| Ending Page | 1314 |
| File Size | 291477 |
| Page Count | 5 |
| File Format | |
| ISBN | 7302139229 |
| DOI | 10.1109/CESA.2006.4281840 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | IMACS |
| Subject Keyword | Graphics Computer science Image segmentation Image coding Codecs Data compression Color Systems engineering and theory Image storage Pixel lossless color image compression |
| Content Type | Text |
| Resource Type | Article |
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