Timeline for Differences Using Maximum Likelihood or Maximum a Posteriori for Deconvolution / Deblur
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 14, 2013 at 18:05 | comment | added | Aaron | No, I haven't worked with point spread functions before | |
| Dec 14, 2013 at 12:10 | comment | added | Marka | To be clear: You don't have any images to illustrate this? | |
| Dec 13, 2013 at 23:22 | comment | added | Aaron | I assume that if you are working with them that you might have an idea of what they look like. Like if they tend to be vertical lines or circles or whatever. | |
| Dec 13, 2013 at 20:58 | comment | added | Marka | " some information about what the PSF typically looks like" <-- Do you have an example of this? | |
| Dec 13, 2013 at 20:45 | comment | added | Aaron | I don't know much about your specific application. If you had some information about what the PSF typically looks like then that distribution would be your prior. If you have no prior information about the average PSF then MAP is equivalent to MLE. | |
| Dec 13, 2013 at 17:28 | comment | added | Marka | Could you give a concrete example in this case? And how would you estimate the prior if you have little information and a very complicated function? What kind of prior information do you suppose to get in a case of a deconvolution? And could you illustrate it with an image? | |
| Dec 13, 2013 at 17:21 | history | answered | Aaron | CC BY-SA 3.0 |