Review Study of Image De-Noising on Digital Image Processing and Applications

Authors

  • Cik Siti Khadijah Abdulah High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Mohamad Nur Khairul Hafizi Rohani High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Baharuddin Ismail High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Mohd Annuar Mohd Isa High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Afifah Shuhada Rosmi Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Wan Azani Wan Mustafa Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Ahmad Zaidi Abdullah Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Wan Nor Munirah Ariffin Institute of Engineering Mathematics, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Mohamad Kamarol Mohd Jamil School of Electrical & Electronic Engineering, Universiti Sains Malaysia (USM), Penang, Malaysia

DOI:

https://doi.org/10.37934/araset.30.1.331343

Keywords:

Digital image, de-noising, Gaussian, noise, Poisson noise, Salt and Pepper noise, Spatial domain, Speckle noise, transform domain

Abstract

This paper reviews several studies of image de-noising on digital image processing and applications. Noisy images contain different noise that exist either due to environment or electronic interferences. Ergo, de-noising is crucial to eliminate the noise that disturb data collecting process. The impact of de-noising on image processing can result for accurate and precise data collected from the image. Additionally, de-noising process required several crucial steps that help to enhance knowledge on digital image and its application. Hence, study and understanding de-noising can improve multiple aspect such as image quality, data sensitivity and specificity, accuracy of the collected data, and increase the percentage of each parameter.

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Author Biographies

Cik Siti Khadijah Abdulah, High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

ciksiti@studentmail.unimap.edu.my

Mohamad Nur Khairul Hafizi Rohani, High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

khairulhafizi@unimap.edu.my

Baharuddin Ismail, High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

baha@unimap.edu.my

Mohd Annuar Mohd Isa, High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

annuar@unimap.edu.my

Afifah Shuhada Rosmi, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

afifahshuhada@unimap.edu.my

Wan Azani Wan Mustafa, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

wanazani@unimap.edu.my

Ahmad Zaidi Abdullah, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

zaidiabdullah@unimap.edu.my

Wan Nor Munirah Ariffin, Institute of Engineering Mathematics, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

munirah@unimap.edu.my

Mohamad Kamarol Mohd Jamil, School of Electrical & Electronic Engineering, Universiti Sains Malaysia (USM), Penang, Malaysia

eekamarol@usm.my

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Published

2023-03-31

Issue

Vol. 30 No. 1: March (2023)

Section

Articles
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Europe PMC

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