Timeline for Super- resolution: Warp Matrix
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 18, 2017 at 10:50 | comment | added | Mohammad M | so you want to reconstruct a super resolution image using multiple low resolution image from different view. | |
| S Aug 17, 2017 at 15:06 | history | suggested | Darth Vader | CC BY-SA 3.0 |
I have explained the question more
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| Aug 17, 2017 at 4:33 | review | Suggested edits | |||
| S Aug 17, 2017 at 15:06 | |||||
| Aug 16, 2017 at 21:12 | comment | added | Mohammad M | The equation Y=DHX is a model for signal sampling where H is a operator for a low-pass filter or anti-aliasing filter and D maps the filtered signal to a lower dimension space in other words sample the signal (images are 2D extension of signals). | |
| Aug 16, 2017 at 21:00 | comment | added | Mohammad M | i need you to explain more about your question. I don't get it what a projective transform (your 3*3 matrix) got to do with super-resolution algorithms. | |
| Aug 16, 2017 at 20:58 | comment | added | Mohammad M | it was better to put your comment in the comment section! I taught you meant " can move over the coordinate system". | |
| Aug 16, 2017 at 20:46 | answer | added | Darth Vader | timeline score: -1 | |
| Aug 16, 2017 at 18:59 | answer | added | Mohammad M | timeline score: 1 | |
| Aug 16, 2017 at 16:38 | review | First posts | |||
| Aug 17, 2017 at 22:20 | |||||
| Aug 16, 2017 at 16:35 | history | asked | Abhishek kumar | CC BY-SA 3.0 |