Wikipedia:Reference desk/Archives/Mathematics/2023 July 5
Mathematics desk | ||
---|---|---|
< July 4 | << Jun | July | Aug >> | Current desk > |
Welcome to the Wikipedia Mathematics Reference Desk Archives |
---|
The page you are currently viewing is a transcluded archive page. While you can leave answers for any questions shown below, please ask new questions on one of the current reference desk pages. |
July 5
[edit]2d Discrete Poisson Equation and Gradient Image Processing
[edit]The 2d discrete Poisson Equation comes up in the context of gradient domain image processing; recently, I have a need to implement a solver for this problem. While some libraries already exist, I would prefer to code my own. However, the only thing I can find on the topic are journal articles that are very jargon heavy and terse - and that's fine and expected - since this is not my area of expertise, it is rough going and, as such, I was hoping someone might be able to suggest a a book or reference that covers the problem without assuming quite as much background. To be precise, a lot of the jargon seems related to numerical methods and partial differential equations and these are subjects I haven't touched in a while; something that spent more than a few paragraphs before jumping into what they do with the solutions would be helpful. Thank you in advance:-)2601:547:1500:C60:C59B:AA40:33AD:4711 (talk) 16:36, 5 July 2023 (UTC)
- Are these lecture notes helpful, or are they also too jargon-laden and terse? They do not explain the fastest solution method, which uses a multigrid method, but FFT is possibly fast enough for you. If you need the speed of multigrid, consult these notes. --Lambiam 19:29, 5 July 2023 (UTC)
- Thank you so much, those are wonderful! The image processing articles I was reading sort of just skipped over how to solve it, that's much clearer and workable.2601:547:1500:C60:C59B:AA40:33AD:4711 (talk) 19:38, 5 July 2023 (UTC)