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http://hdl.handle.net/2080/389
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| Title: | Development of Some Novel Nonlinear and Adaptive Digital Image Filters for Efficient Noise Suppression |
| Authors: | Meher, S
Panda, G (Guide) |
| Issue Date: | Dec-2004 |
| Publisher: | National Institute of Technology, Rourkela |
| Citation: | Development of Some Novel Nonlinear and Adaptive Digital Image Filters for Efficient Noise Suppression, Doctoral Thesis, Dec 2004, P 151 |
| Abstract: | Some nonlinear and adaptive digital image filtering algorithms have been developed
in this thesis to suppress additive white Gaussian noise (AWGN), bipolar fixed-valued
impulse, also called salt and pepper noise (SPN), random-valued impulse noise
(RVIN) and their combinations quite effectively.
The present state-of-art technology offers high quality sensors, cameras, electronic
circuitry: application specific integrated circuits (ASIC), system on chip (SOC), etc.,
and high quality communication channels. Therefore, the noise level in images has
been reduced drastically.
In literature, many efficient nonlinear image filters are found that perform well under
high noise conditions. But their performance is not so good under low noise
conditions as compared to the extremely high computational complexity involved
therein. Thus, it is felt that there is sufficient scope to investigate and develop quite
efficient but simple algorithms to suppress low-power noise in an image.
When... |
| Description: | Copyright for this thesis belongs to National Institute of Technology, Rourkela, India |
| URI: | http://hdl.handle.net/2080/389 |
| Appears in Collections: | Thesis (Doctor of Philosophy)
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| meher-thesis.pdf | | 2865Kb | Adobe PDF | View/Open |
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