Noise characterization in web cameras using independent component analysis

Mohammad Asmat Ullah Khan; Tariq Mahmood Khan; Rabia Bahadar Khan; Atiqa Kiyani; Muhammad Aurangzeb Khan

Noise characterization in web cameras using independent component analysis

Mohammad Asmat Ullah Khan^*, Tariq Mahmood Khan, Rabia Bahadar Khan, Atiqa Kiyani, Muhammad Aurangzeb Khan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

An image captured by a web camera contains stationary and nonstationary noise patterns. These noise patterns are of three types i.e. Fixed Pattern Noise (FPN), Interactive Nose (IN) and Temporal Noise (TN). TN is an independent noise pattern and needs an algorithm that does exploit its higher-order dependencies. Previously, these noise patterns have been characterized using Principal Component Analysis (PCA). PCA is restricted to second order dependencies. In this paper Independent Component Analysis (ICA) has been investigated for actual TN noise. The experimental results demonstrates the effectiveness of the proposed method.

Original language	English
Pages (from-to)	302-311
Number of pages	10
Journal	International Journal of Computers, Communications and Control
Volume	7
Issue number	2
Publication status	Published - 2012
Externally published	Yes

Keywords

Fixed pattern noise
Independent component analysis
Interaction noise
Principle component analysis
Temporal noise

Cite this

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title = "Noise characterization in web cameras using independent component analysis",

abstract = "An image captured by a web camera contains stationary and nonstationary noise patterns. These noise patterns are of three types i.e. Fixed Pattern Noise (FPN), Interactive Nose (IN) and Temporal Noise (TN). TN is an independent noise pattern and needs an algorithm that does exploit its higher-order dependencies. Previously, these noise patterns have been characterized using Principal Component Analysis (PCA). PCA is restricted to second order dependencies. In this paper Independent Component Analysis (ICA) has been investigated for actual TN noise. The experimental results demonstrates the effectiveness of the proposed method.",

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language = "English",

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T1 - Noise characterization in web cameras using independent component analysis

AU - Khan, Mohammad Asmat Ullah

AU - Khan, Tariq Mahmood

AU - Khan, Rabia Bahadar

AU - Kiyani, Atiqa

AU - Khan, Muhammad Aurangzeb

PY - 2012

Y1 - 2012

N2 - An image captured by a web camera contains stationary and nonstationary noise patterns. These noise patterns are of three types i.e. Fixed Pattern Noise (FPN), Interactive Nose (IN) and Temporal Noise (TN). TN is an independent noise pattern and needs an algorithm that does exploit its higher-order dependencies. Previously, these noise patterns have been characterized using Principal Component Analysis (PCA). PCA is restricted to second order dependencies. In this paper Independent Component Analysis (ICA) has been investigated for actual TN noise. The experimental results demonstrates the effectiveness of the proposed method.

AB - An image captured by a web camera contains stationary and nonstationary noise patterns. These noise patterns are of three types i.e. Fixed Pattern Noise (FPN), Interactive Nose (IN) and Temporal Noise (TN). TN is an independent noise pattern and needs an algorithm that does exploit its higher-order dependencies. Previously, these noise patterns have been characterized using Principal Component Analysis (PCA). PCA is restricted to second order dependencies. In this paper Independent Component Analysis (ICA) has been investigated for actual TN noise. The experimental results demonstrates the effectiveness of the proposed method.

KW - Fixed pattern noise

KW - Independent component analysis

KW - Interaction noise

KW - Principle component analysis

KW - Temporal noise

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M3 - Article

AN - SCOPUS:84862683105

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VL - 7

SP - 302

EP - 311

JO - International Journal of Computers, Communications and Control

JF - International Journal of Computers, Communications and Control

IS - 2

ER -

Noise characterization in web cameras using independent component analysis

Abstract

Keywords

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