This paper presents SUVEHP (speed up of video enhancement based on human perception), a human percep- tion-based model oriented to reduce the computational time ofdigitalvideorestoration.Inparticular,twospecifichypoth- esis tests able to classify degraded frame regions are pro- posed. Classification is performed in agreement with regions visual significance in order to enable or inhibit motion com- pensated enhancement. The level of the proposed hypothesis tests is theoretically assessed. Moreover, extensive exper- imental results on video sequences affected by additive Gaussian noise show that SUVEHP speeds up some stan- dard motion compensated denoisers up to 60%, preserving or even slightly increasing both the objective and subjective visual quality of the restored sequences.
Speed up of Video Enhancement based on Human Perception / Bruni, Vittoria; De Canditiis, D.; Vitulano, D.. - In: SIGNAL, IMAGE AND VIDEO PROCESSING. - ISSN 1863-1711. - ELETTRONICO. - 8:(2014), pp. 1199-1209. [10.1007/s11760-012-0344-y]
Speed up of Video Enhancement based on Human Perception
BRUNI, VITTORIA;D. Vitulano
2014
Abstract
This paper presents SUVEHP (speed up of video enhancement based on human perception), a human percep- tion-based model oriented to reduce the computational time ofdigitalvideorestoration.Inparticular,twospecifichypoth- esis tests able to classify degraded frame regions are pro- posed. Classification is performed in agreement with regions visual significance in order to enable or inhibit motion com- pensated enhancement. The level of the proposed hypothesis tests is theoretically assessed. Moreover, extensive exper- imental results on video sequences affected by additive Gaussian noise show that SUVEHP speeds up some stan- dard motion compensated denoisers up to 60%, preserving or even slightly increasing both the objective and subjective visual quality of the restored sequences.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
