This paper focuses on the use of Human Visual System (HVS) rules for reducing the complexity of image and video restoration algorithms. Specifically, a fast HVS based block classification is proposed for distinguishing image blocks where restoration is necessary from the ones where it is useless. Some experimental results on standard test images and video sequences show the capability of the proposed method in reducing the computing time of de-noising algorithms, preserving the visual quality of the restored sequences. © 2011 Springer-Verlag.
Human visual system for complexity reduction of image and video restoration / Bruni, Vittoria; De Canditiis, D.; Vitulano, Domenico. - STAMPA. - 6855 LNCS:PART 2(2011), pp. 261-268. (Intervento presentato al convegno 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011 tenutosi a Seville nel 29 August 2011 through 31 August 2011) [10.1007/978-3-642-23678-5_30].
Human visual system for complexity reduction of image and video restoration
BRUNI, VITTORIA;Domenico Vitulano
2011
Abstract
This paper focuses on the use of Human Visual System (HVS) rules for reducing the complexity of image and video restoration algorithms. Specifically, a fast HVS based block classification is proposed for distinguishing image blocks where restoration is necessary from the ones where it is useless. Some experimental results on standard test images and video sequences show the capability of the proposed method in reducing the computing time of de-noising algorithms, preserving the visual quality of the restored sequences. © 2011 Springer-Verlag.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
