Underwater Image Quality Assessment Based on HVS

• Published in: Ji suan ji ke xue Vol. 49; no. 5; pp. 98 - 104
• Main Authors: Lu, Ting, Hou, Guo-jia, Pan, Zhen-kuan, Wang, Guo-dong
• Format: Journal Article
• Language: Chinese
• Published: Chongqing Guojia Kexue Jishu Bu 01.05.2022; Editorial office of Computer Science
• Subjects: Algorithms; Archaeology; Blurring; Color; Dance; Ecological effects; Electromagnetic absorption; Graphical user interface; Image contrast; Image enhancement; Image quality; image quality assessment|no-reference|human visual system|colorful measure|contrast measure|sharpness measure; Marine ecology; Performance indices; Physical properties; Quality assessment; Target detection; Tracking; Underwater; Water absorption
• ISSN: 1002-137X
• DOI: 10.11896/jsjkx.210100224

Due to the absorption and scattering effects under water, underwater image often suffers from blurring, low contrast, color casting and so on.The degraded images will decline the accuracy and effectiveness in underwater archaeology, marine ecological research, underwater target detection and tracking.On the other hand, underwater image quality assessment plays a key goal in the development and exploration of the ocean.An effective underwater image quality evaluation system can provide a gui-dance for optimizing underwater enhancement and restoration algorithms and promote the progress of underwater vision.Therefore, it is desire to design an effective and robust algorithm for underwater image quality evaluation.Since the atmospheric image quality evaluation methods don't consider the characteristics of the water absorption of light, they aren't suitable for evaluating underwater image quality.Additionally, there are few effective metrics for underwater images quality evaluation up to now.To address this probl