Optimal hierarchical coding of quantized images
Optimal hierarchical coding is sought, for progressive or scalable image transmission, by minimizing the variance of the error difference between the original image and its lower resolution renditions. The optimal, according to the above criterion, pyramidal image coders are determined for images su...
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| Veröffentlicht in: | 1996 IEEE International Conference on Image Processing Proceedings Jg. 1; S. 581 - 584 vol.1 |
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| Hauptverfasser: | , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
1996
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| ISBN: | 9780780332591, 0780332598 |
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| Abstract | Optimal hierarchical coding is sought, for progressive or scalable image transmission, by minimizing the variance of the error difference between the original image and its lower resolution renditions. The optimal, according to the above criterion, pyramidal image coders are determined for images subject to corruption by quantization or transmission noise. Given arbitrary analysis filters and assuming adequate knowledge of the noise statistics, the optimal synthesis filters are found. The optimal analysis filters are subsequently determined, leading to formulas for globally optimal structures for pyramidal and subband image decompositions. Experimental results illustrate the implementation and performance of the optimal coders. |
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| AbstractList | Optimal hierarchical coding is sought, for progressive or scalable image transmission, by minimizing the variance of the error difference between the original image and its lower resolution renditions. The optimal, according to the above criterion, pyramidal image coders are determined for images subject to corruption by quantization or transmission noise. Given arbitrary analysis filters and assuming adequate knowledge of the noise statistics, the optimal synthesis filters are found. The optimal analysis filters are subsequently determined, leading to formulas for globally optimal structures for pyramidal and subband image decompositions. Experimental results illustrate the implementation and performance of the optimal coders. |
| Author | Sevidikidis, T. Tzovaras, D. Gioumousia, H. Strintzis, M.G. |
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| Snippet | Optimal hierarchical coding is sought, for progressive or scalable image transmission, by minimizing the variance of the error difference between the original... |
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| SubjectTerms | Computer errors Filter bank Image analysis Image coding Image communication Image resolution Quantization Signal resolution Signal sampling Statistical analysis |
| Title | Optimal hierarchical coding of quantized images |
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