Timeline for Is there a way to measure an image SNR blindly?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Dec 18, 2021 at 21:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 18, 2021 at 20:57 | answer | added | TimWescott | timeline score: 1 | |
| Nov 18, 2021 at 11:13 | answer | added | Knut Inge | timeline score: 0 | |
| Nov 18, 2021 at 9:25 | history | edited | user7657 | CC BY-SA 4.0 |
added 126 characters in body
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| Nov 18, 2021 at 9:04 | comment | added | Fat32 | check out the literature for "blind" or "model based" SNR estimation. I can't suggest anyone of them though. | |
| Nov 17, 2021 at 22:59 | comment | added | user7657 | @Fat32: are there known techniques. | |
| Nov 17, 2021 at 22:57 | comment | added | Fat32 | Yes, such a restriction will allow "some" estimation of SNR based on image class models... | |
| Nov 17, 2021 at 22:24 | comment | added | user7657 | @Fat32: what if we restrict the image to be piecewise constant or piecewise smooth ? Is there a better chance ? (Of course without explicit reconstruction.) | |
| Nov 17, 2021 at 18:03 | comment | added | Fat32 | "without any knowledge"... (probably) there isn't any... a trained SNR estimator would do it without knowing the particular clean image, but it still has a lot of knowledge about the class of images that's supposed to produce the clean image... | |
| Nov 17, 2021 at 17:46 | history | asked | user7657 | CC BY-SA 4.0 |