In this paper, two image quality metrics based on morphological multiscale decompositions have been applied for the evaluation of free viewpoint video sequences. These sequences are synthesized using decompressed depth maps in the Depth-Image-Based Rendering synthesis process. Since the synthesis introduces edge distortion in the synthesized image/video, morphological filters are used for their ability to maintain important geometric information (i.e., edges) across different resolution levels. The edges displacement in different resolution scales is evaluated by means of the Mean Square Error. The adopted metrics show higher correlation with human judgment than state-of-the-art image quality measures used in this context.
Sandic Stankovic, D., Battisti, F., Kukolj, D., Le Callet, P., Carli, M. (2016). Free viewpoint video quality assessment based on morphological multiscale metrics. In 2016 8th International Conference on Quality of Multimedia Experience, QoMEX 2016 (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/QoMEX.2016.7498949].
Free viewpoint video quality assessment based on morphological multiscale metrics
BATTISTI, FEDERICA;CARLI, Marco
2016-01-01
Abstract
In this paper, two image quality metrics based on morphological multiscale decompositions have been applied for the evaluation of free viewpoint video sequences. These sequences are synthesized using decompressed depth maps in the Depth-Image-Based Rendering synthesis process. Since the synthesis introduces edge distortion in the synthesized image/video, morphological filters are used for their ability to maintain important geometric information (i.e., edges) across different resolution levels. The edges displacement in different resolution scales is evaluated by means of the Mean Square Error. The adopted metrics show higher correlation with human judgment than state-of-the-art image quality measures used in this context.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.