Distributed Successive Refinement of Multiview Images Using Broadcast Advantage
| Autor: | Zichong Chen, Martin Vetterli, Guillermo Barrenetxea |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Computer science
Image quality business.industry NCCR-MICS Gaussian ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION distributed coding Computer Graphics and Computer-Aided Design Coding tree unit Sub-band coding symbols.namesake Robustness (computer science) successive refinement NCCR-MICS/EMSP symbols Computer vision multi-view images Artificial intelligence business Gaussian process Software Context-adaptive binary arithmetic coding |
| Zdroj: | IEEE Transactions on Image Processing. 21:4581-4592 |
| ISSN: | 1941-0042 1057-7149 |
| DOI: | 10.1109/tip.2012.2205008 |
| Popis: | In environmental monitoring applications, having multiple cameras focus on common scenery increases robustness of the system. To save energy based on user demand, successive refinement image coding is important, as it allows us to progressively request better image quality. By exploiting the broadcast nature and correlation between multiview images, we investigate a two-camera setup and propose a novel two-encoder successive refinement scheme which imitates a ping-pong game. For the bivariate Gaussian case, we prove that this scheme is successively refinable on the theoretical rate-distortion limit of distributed coding (Wagner surface) under arbitrary settings. For stereo-view images, we develop a practical successive refinement coding algorithm using the same idea. The simulation results show that this scheme operates close to the distributed coding bound. |
| Databáze: | OpenAIRE |
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