A Review of Image Quality Assessment (IQA): SNR, GCF, AD, NAE, PSNR, ME

Authors

  • Wan Azani Mustafa School of Mechatronic Engineering, University Malaysia Perlis, 02600 Ulu Pauh, Arau, Perlis, Malaysia
  • Haniza Yazid School of Mechatronic Engineering, University Malaysia Perlis, 02600 Ulu Pauh, Arau, Perlis, Malaysia
  • Mastura Jaafar School of Environmental Engineering, University Malaysia Perlis, 01000 Kangar, Perlis, Malaysia
  • Mustaffa Zainal School of Environmental Engineering, University Malaysia Perlis, 01000 Kangar, Perlis, Malaysia
  • Aimi Salihah Abdul- Nasir School of Engineering Technology, Kampus Sg. Chuchuh, Universiti Malaysia Perlis, 02100 Padang Besar, Perlis, Malaysia
  • Noratikah Mazlan School of Mechatronic Engineering, University Malaysia Perlis, 02600 Ulu Pauh, Arau, Perlis, Malaysia

Keywords:

Signal to Noise Ratio, Peak Signal to Noise Ratio, Global Contrast Factor, IQA

Abstract

Image quality assessment (IQA) is an objective way to measure the visual quality of an image, and it plays a crucial role in many image processing techniques. Recently, a lot of IQAs method was proposed based on their own direction and application. In this study, a few selected IQAs was reviewed such as Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), and others. The primary purpose is to study and explore the function and mathematical equation for each IQAs that was effected on non- uniform images. The findings of this survey will help the researcher to know and applied in their research.

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Published

2023-10-18
صندلی اداری سرور مجازی ایران Decentralized Exchange

Issue

Vol. 7 No. 1: June (2017)

Section

Articles
فروشگاه اینترنتی