A no-reference image quality assessment metric for wood images

• Main Authors: Heshalini, Rajagopal, Norrima, Mokhtar, Anis Salwa, Mohd Khairuddin, Wan Khairunizam, Wan Ahmad, Zuwairie, Ibrahim, Asrul, Adam, Wan Amirul, Wan Mohd Mahiyidin
• Format: Article
• Language: English
• Published: Atlantis Press 2021
• Subjects: Q Science (General); T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/34324/7/A%20no-reference%20image%20quality%20assessment%20metric_FULL.pdf; http://umpir.ump.edu.my/id/eprint/34324/; https://doi.org/10.2991/jrnal.k.210713.012; https://doi.org/10.2991/jrnal.k.210713.012

Image Quality Assessment (IQA) is a vital element in improving the efficiency of an automatic recognition system of various wood species. There is a need to develop a No-Reference IQA (NR-IQA) system as a perfect and distortion free wood images may be impossible to be acquired in the dusty environme...