Human Visual System for Complexity Reduction of Image and Video Restoration

This paper presents SUVEHP (speed up of video\ud enhancement based on human perception), a human percep-\ud tion-based model oriented to reduce the computational time\ud ofdigitalvideorestoration.Inparticular,twospecifichypoth-\ud esis tests able to classify degraded frame regions are pro-\ud posed. Classification is performed in agreement with regions\ud visual significance in order to enable or inhibit motion com-\ud pensated enhancement. The level of the proposed hypothesis\ud tests is theoretically assessed. Moreover, extensive exper-\ud imental results on video sequences affected by additive\ud Gaussian noise show that SUVEHP speeds up some stan-\ud dard motion compensated denoisers up to 60%, preserving\ud or even slightly increasing both the objective and subjective\ud visual quality of the restored sequences

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Speed up of Video Enhancement based on Human Perception

Bruni

Canditiis

Vitulano

2012

SIViP

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Human Visual System for Complexity Reduction of Image and Video Restoration

Cited by 1 publication

References 11 publications

Speed up of Video Enhancement based on Human Perception

Speed up of Video Enhancement based on Human Perception

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