Transfer Function-Guided Saliency-Aware Compression for Transmitting Volumetric Data

doi:10.1109/TMM.2017.2757759

2020-09-01

Ji Hwan Park *

Arie Kaufman

DOI：10.1109/TMM.2017.2757759

原文链接

查看原文

摘要

En 中文

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.

Keyword:

Three-dimensional displays

Image coding

Data visualization

Rendering (computer graphics)

Encoding

Discrete cosine transforms

Compression

saliency

volume visualization

wavelets

discrete cosine transform