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Wavelet-based compression of medical images: Protocols to improve resolution and quality scalability and region-of-interest coding

机译:基于小波的医学图像压缩:提高分辨率和质量可伸缩性以及感兴趣区域编码的协议

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The paper describes a methodology to improve the scalability support of an embedded bit stream, generated with a wavelet-based compression algorithm, and a generic protocol to handle multiple regions-of-interest (ROIs). The generic scheme, illustrated for embedded zero-tree wavelet (EZW) coding, exploits the inherent graceful degradation capabilities of wavelet-based compression methods and ensures an optimal trade-off between the image reconstruction quality and the compression ratio. Additionally, an efficient protocol is proposed to handle multiple ROIs in an interactive client-server set-up for telemedicine applications. The processing of the ROIs takes place in the wavelet domain.
机译:本文介绍了一种方法,该方法可改善由基于小波的压缩算法生成的嵌入式比特流的可伸缩性支持,以及一种用于处理多个关注区域(ROI)的通用协议。针对嵌入式零树小波(EZW)编码说明的通用方案利用了基于小波的压缩方法固有的适度降级功能,并确保了图像重建质量和压缩率之间的最佳折衷。另外,提出了一种有效的协议来处理远程医疗应用程序的交互式客户端-服务器设置中的多个ROI。 ROI的处理在小波域中进行。

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