This repository contains the scripts for the methods described in "Bo Ma, Susanne K. Suter, and Alireza Entezari. 2017. Quality assessment of volume compression approaches using isovalue clustering. Comput. Graph. 63, C (April 2017), 18-27. DOI: https://doi.org/10.1016/j.cag.2017.01.006".

This folder includes scripts for performing discrete wavelet transform, discrete cosine transform, and tensor approximation to volumetric datasets.

This folder includes scripts for conventional assessments of volumetric data compressions including MSE, SNR, and SSIM.

The scripts for selecting benchmark isovalues can be found at https://github.com/scumabo/TransferFunctionDVR/tree/master/FeatureClassification. The code for the perceptual-based mesh quality metric can be found in [2] at https://www.gipsa-lab.grenoble-inp.fr/~kai.wang/publications_en.html.

[2] A curvature-tensor-based perceptual quality metric for 3D triangular meshes. F. Torkhani, K. Wang, and J.-M. Chassery. Machine Graphics & Vision. vol. 23, no.1-2, pp. 59-82, 2014.