This paper discusses about the importance of Imaging Vector fields. Imaging vector fields has applications in science, art, image processing and special effects. It is interesting to know that Imaging vector fields have applications in artist domains.
The author intelligently gave us the required background by explaining DDA convolution method and its drawbacks, which helped us understanding the importance of LIC and its improvements better. DDA is much more efficient in terms of Cells processed per second. But, LIC is much accurate and there is an improvement in quality. So, there will be a tradeoff in using these methods.
I think a parallel implementation of LIC will prove to be both fast and accurate, and will be an excellent way of Imaging vector fields. The authors have mentioned that LIC algorithm is inherently parallel. So, there should not be any problem in implementing the parallelized version of LIC.
Overall, the paper is an excellent read. The concepts are explained quite clearly with the help of before and after images.
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