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About Lecture Notes EE528
The document discusses image restoration and degradation models. It begins by introducing linear, position-invariant degradation models where the degraded image is modeled as the convolution of the original image with a point spread function (PSF) representing the blurring, plus noise. Common PSF models include motion blur, out-of-focus blur, and atmospheric turbulence blur. The document then describes several image restoration algorithms, including inverse filtering, Wiener filtering, and constrained least squares filtering, that aim to estimate the original image from the degraded observation.
Detailed Information
| Author: | ['DrRandom'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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