Transfer Function-Guided Saliency-Aware Compression for Transmitting Volumetric Data
Transfer Function-Guided Saliency-Aware Compression for Transmitting Volumetric Data
复制标题
DOI：
10.1109/tmm.2017.2757759
复制
发表时间：
2017-09
影响因子：
7.3
通讯作者：
Ji Hwan Park;Ievgeniia Gutenko;A. Kaufman
中科院分区：
文献类型：
--
作者：
Ji Hwan Park;Ievgeniia Gutenko;A. Kaufman
我们引入了转移功能引导的三维（3-D）基于块的显着性压缩方案，以实现既是内容又可扩展的体积数据。借助用于渲染数据的传输函数来识别和加权显着的3-D体积块。我们以用于处理，进行性传输和可视化目标设备上的体积数据的框架的形式描述我们的方法，例如具有有限的计算资源的移动设备。特别是，我们解决传输3-D体积数据时产生的传输瓶颈。确定的明显区域逐渐传输到目标设备。收到的数据以相应的顺序逐渐呈现，并具有预定义或用户定义的传输功能。我们的方法是考虑到医疗应用的开发，其中所有信息保存对于临床诊断至关重要。由于我们的方法与图像的整数小波变换集成到一个分辨率可伸缩的编码方案中，因此它允许在不同的分辨率上渲染每个有效区域，直到完全无损重建。我们对显着性检测方法和由此产生的显着性压缩方案进行彻底的定性评估。我们的结果显示，使用我们的方法表示体积数据的表示误差减少。
We introduce a transfer-function-guided three-dimensional (3-D) block-based saliency-aware compression scheme for volumetric data that is both content and spatially scalable. Salient 3-D volumetric blocks are identified and weighted with the help of a transfer function which is used to render the data. We describe our method in the form of a framework for processing, progressive transmission, and visualization of volumetric data on a target device, such as a mobile device with limited computational resources. In particular, we address the transmission bottleneck incurred when transferring 3-D volumetric data. Identified salient regions are progressively transmitted to the target device. The received data are rendered progressively in the respective order with a predefined or user-defined transfer function. Our method is developed with medical applications in mind, where preservation of all information is essential for clinical diagnosis. Because our method is integrated into a resolution scalable coding scheme with an integer wavelet transform of the image, it allows the rendering of each significant region at a different resolution up to fully lossless reconstruction. We perform a thorough qualitative and quantitative evaluation of the saliency detection method and the resulting saliency-aware compression schemes. Our results show reduced error in representation of the volumetric data with our method.