In many applications, such as medical diagnosis, correctness of volume rendered images is very important. The most commonly used method for gradient calculation in these volume renderings is the Central Difference Method (CDM), due to its ease of implementation and fast computation. In this paper, artifacts from using CDM for gradient calculation in volume rendering are studied. Gradients are, in general, calculated by CDM with second-order accuracy, O(Δx2). We first introduce a simple technique to find the equations for any desired order of CDM. We then compare the O(Δx2), O(Δx4), and O(Δx6) accuracy versions, using the O(Δx6) version as “ground truth”. Our results show that, unsurprisingly, O(Δx2) has a greater number of errors than O(Δx4), with some of those errors leading to changes in the appearance of images. In addition, we found that, in our implementation, O(Δx2) and O(Δx4) had virtually identical computation time. Finally, we discuss conditions where the higher-order versions may in fact produce less accurate images than the standard O(Δx2). From these results, we provide guidance to software developers on choosing the appropriate CDM, based upon their use case.
CITATION STYLE
Nagai, K., & Rosen, P. (2015). Guidance on the selection of central difference method accuracy in volume rendering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9474, pp. 328–338). Springer Verlag. https://doi.org/10.1007/978-3-319-27857-5_30
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