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Title: salt and pepper noise removal project reports download
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Created at: Saturday 13th of October 2012 03:38:59 PM
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The new non-lethal weapon using the world's hottest chili. Measuring more than 1,000,000 Scoville units, the bhut jolokia. The chili weapon, a tear gas-like hand grenade stuffed with bhut(ghost) jolokia chilli peppers to immobilize rioters and terrorists without killing them and can able to immobilize suspects and force terrorists out of hiding. The active ingredient in chillis is Oleoresin Capsicum (OC), a complex mixture of organic compounds. Aficionados rate the hotness of chills using the Scoville scale, which measures the amount of dilu ....etc

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Title: salt and pepper image noise reduction project documentation
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Created at: Tuesday 30th of October 2012 11:18:56 PM
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Created at: Saturday 08th of December 2012 12:16:14 AM
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An electrocardiogram (ECG) is a graphical representation of hearts functionality and is an important tool used for diagnosis of cardiac abnormalities. In clinical environment during acquisition, the ECG signal encounters with various types of artifacts. These artifacts strongly affects the ST segment, degrades the signal quality, frequency resolution, produces large amplitude signals in ECG that can resemble PQRST waveforms and masks tiny features that are
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Title: salt pepper noise removal a trimmed filter matlab ppt
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Title: matlab code for salt and pepper noise removal by median type noise detectors and detail preserving regularization
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Created at: Monday 22nd of July 2013 12:01:29 AM
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Title: Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving
Page Link: Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving -
Posted By: seminar class
Created at: Saturday 07th of May 2011 01:35:21 PM
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Abstract
This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first
phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise
(noise candidates). In the second phase, the image is restored using a specialized regularization method
that applies only to those selected noise candidates. In terms of edge preservation and noise suppression,
our restored images show a significant improvement compared to those restored by using just nonlinear
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