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.

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

How to Cite

Cik Siti Khadijah Abdulah, Mohamad Nur Khairul Hafizi Rohani, Baharuddin Ismail, Mohd Annuar Mohd Isa, Afifah Shuhada Rosmi, Wan Azani Wan Mustafa, Ahmad Zaidi Abdullah, Wan Nor Munirah Ariffin, & Mohamad Kamarol Mohd Jamil. (2023). Review Study of Image De-Noising on Digital Image Processing and Applications. Journal of Advanced Research in Applied Sciences and Engineering Technology, 30(1), 331–343. https://doi.org/10.37934/araset.30.1.331343

Issue

Vol. 30 No. 1: March (2023)

Section

Articles

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