Image Restoration by Removing Noise from Images
One of the long-standing challenges in photography is noise. Noise artifacts are generated from relative motion between a camera and a scene during exposure. While noise can be reduced by using a shorter exposure, this comes at an unavoidable trade-off with increased noise. Therefore, it is desirable to remove noise computationally. To remove noise, we need to (i) estimate how the image is noised (i.e. the blur kernel or the point-spread function) and (ii) restore a natural looking image through deconvolution. Blur kernel estimation is challenging because the algorithm needs to distinguish the correct image- blur pair from incorrect ones that…
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Produktdetails
Weitere Autoren: Singh, Prabhat Kumar
- ISBN: 978-3-659-66765-7
- EAN: 9783659667657
- Produktnummer: 37617700
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 56 S.
- Masse: H22.0 cm x B15.0 cm x D0.3 cm 102 g
- Abbildungen: Paperback
- Gewicht: 102
Über den Autor
Diljeet Singh Chundawat : He is working as Assistant Professor in department of Computer Science, MIT Mandsaur, India.He has Completed his M.Tech in Computer Science from RGPV Bhopal with Honours.Prabhat Kumar Singh : He is working as Assistant Professor in department of Computer Science, MIT Mandsaur, India.
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