Abstract
The humans are the ultimate assessor of image or video quality. Thus, evaluating the quality using human perception is a very crucial and interesting topic in the quality assessment research domain. Even though the subjective assessment is the most reliable one, it is time consuming and costly. On the other hand, the objective model provides the assessment result with much less time and labour, albeit with certain degree of tolerable error. In this piece of work, a new objective model, namely visual attentive information fidelity (VAIF) has been proposed in the spatial domain, instead of transformed domain, for assessment of visual quality in a scene or in a patch of the scene. VAIF relates mutual information (MI) and image fidelity using source and destination model. The proposed objective model metrics has been correlated with subjective measurement metrics like MOS, NAS.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
