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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hossain, I. El-Sakka, M.R. |
| Copyright Year | 2012 |
| Description | Author affiliation: Computer Science Department, The University of Western Ontario, London, Ontario N6A 5B7, Canada (Hossain, I.; El-Sakka, M.R.) |
| Abstract | The Prediction with Partial Match (PPM) is a context-based lossless compression scheme developed in the mid 80's. Originally it was targeted towards compressing text that can be viewed as a one-dimensional sequence of symbols. When compressing digital images, PPM usually breaks the two-dimensional data into a one-dimensional raster scan form. This paper extends PPM in order to take full advantage of the two-dimensional nature of digital images. Unlike the traditional two-dimensional raster scan contexts (i.e. concerning upper pixels and pixels to the left), the proposed context is determined using pixels from all directions, including pixels to the right and the lower pixels. Results show that this type of context yields a significant improvement over the traditional raster scan context. |
| Starting Page | 181 |
| Ending Page | 184 |
| File Size | 765740 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457720475 |
| e-ISBN | 9781457720499 |
| e-ISBN | 9781457720482 |
| DOI | 10.1109/PCS.2012.6213322 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-07 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Approximate context Context-based schemes Data compression Quantization Lossless compression Entropy Encoding Decoding Two-dimensional compression Image coding Prediction with Partial Match (PPM) Image encoding |
| Content Type | Text |
| Resource Type | Article |
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