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Distortion Model based on Perceptual of Local Image Content

Pham, Thanh Tung and Dinh, Trieu Duong and Hoang, Van Xiem and Vu Huu, Tien and Le, Thanh Ha (2019) Distortion Model based on Perceptual of Local Image Content. In:, Bangkok, Thailand. (In Press)

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As humans are the ultimate receivers of the majority of visual signals being processed, the most accurate way of assessing image quality is to ask humans for their opinions of an image’s quality, known as the subjective visual quality assessment (VQA). The subjective image quality scores gathered from all subjects are processed to be the mean opinion score (MOS), which is regarded as the ground truth of image quality. Due to the fact that the human visual system (HVS) is differently sensitive to features of image patch, a novel coding distortion modelling method for local image perception is proposed in this paper. An experimental quality assessment to approach database for image patch has been developed. Mean opinion score is regarded as an essential parameter meanwhile the QP-MOS sigmoid curve is determined by local image content.

Item Type: Conference or Workshop Item (Lecture)
Subjects: Electronics and Communications
Information Technology (IT)
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Dr. Xiem HoangVan
Date Deposited: 28 May 2019 13:41
Last Modified: 28 May 2019 13:41

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