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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hardin Jr., C.D. Zabele, S. |
| Copyright Year | 1989 |
| Description | Author affiliation: Anal. Sci. Corp., Reading, MA, USA (Hardin, C.D., Jr.; Zabele, S.) |
| Abstract | Summary form only given. Arithmetic coding has been applied to provide lossless and loss-inducing compression of optical, infrared, and synthetic aperture radar imagery of natural scenes. Several different contexts have been considered, including both predictive and nonpredictive variations, with both image-dependent and image-independent variations. In lossless coding experiments, arithmetic coding algorithms have been shown to outperform comparable variants of both Huffman and Lempel-Ziv-Welch coding algorithms by approximately 0.5 b/pixel. For image-dependent contexts constructed from high-order autoregressive predictors, arithmetic coding algorithms provide compression ratios as high as four. Contexts constructed from lower-order autoregressive predictors provide compression ratios nearly as great as those of the higher-order predictors with favorable computational trades. Compression performance variations have been shown to reflect the inherent sensor-dependent differences in the stochastic structure of the imagery. Arithmetic coding has also been demonstrated to be a valuable addition to loss-inducing compression techniques. |
| File Size | 61540 |
| File Format | |
| DOI | 10.1109/MDSP.1989.97129 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1989-09-06 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Arithmetic Optical losses Adaptive optics Laser radar Optical sensors Infrared imaging Layout Prediction algorithms Stochastic processes |
| Content Type | Text |
| Resource Type | Article |
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