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dc.contributor.authorKozatis, Samuel Peter
dc.contributor.authorGoswami, Hemen
dc.date.accessioned2017-10-04T15:59:29Z
dc.date.available2017-10-04T15:59:29Z
dc.date.issued2000-06-29
dc.identifier.citationKozaitis, S. P., & Goswami, H. (2000). Wavelet-based image compression using randomized quantization. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 4041 46-50.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1717
dc.description.abstractWe applied dithered quantization to image compression using a wavelet transform, scalar quantization method. The results indicate that dithered quantization could change the noise characteristics ofthe reconstructed image.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law. © (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleWavelet-based image compression using randomized quantizationen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.390486


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