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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:1996 IEEE International Conference on Image Processing Proceedings Ročník 1; s. 581 - 584 vol.1
Hlavní autoři: Strintzis, M.G., Tzovaras, D., Sevidikidis, T., Gioumousia, H.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 1996
Témata:
Computer errors
Filter bank
Image analysis
Image coding
Image communication
Image resolution
Quantization
Signal resolution
Signal sampling
Statistical analysis
ISBN:9780780332591, 0780332598
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
ISBN:9780780332591
0780332598
DOI:10.1109/ICIP.1996.559563