In this work, we present a scheme for the lossy compression of image sequences, based on the Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is a lossy compression algorithm for grayscale images, which processes the input data in a single-pass, by using the properties of the vector quantization to approximate data. First, we review the key aspects of the AVQ algorithm and, subsequently, we outline the basic concepts and the design choices behind the proposed scheme. Finally, we report the experimental results, which highlight an improvement in compression performances when our scheme is compared with the AVQ algorithm

Adaptive vector quantization for lossy compression of Image Sequences / Pizzolante, Raffaele; Carpentieri, Bruno; DE AGOSTINO, Sergio. - In: ALGORITHMS. - ISSN 1999-4893. - ELETTRONICO. - 10:(2017), pp. 1-16. [doi:10.3390/a10020051]

Adaptive vector quantization for lossy compression of Image Sequences

DE AGOSTINO, Sergio
2017

Abstract

In this work, we present a scheme for the lossy compression of image sequences, based on the Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is a lossy compression algorithm for grayscale images, which processes the input data in a single-pass, by using the properties of the vector quantization to approximate data. First, we review the key aspects of the AVQ algorithm and, subsequently, we outline the basic concepts and the design choices behind the proposed scheme. Finally, we report the experimental results, which highlight an improvement in compression performances when our scheme is compared with the AVQ algorithm
2017
Adaptive vector quantization; Data compression; Image sequences; Lossy compression
01 Pubblicazione su rivista::01a Articolo in rivista
Adaptive vector quantization for lossy compression of Image Sequences / Pizzolante, Raffaele; Carpentieri, Bruno; DE AGOSTINO, Sergio. - In: ALGORITHMS. - ISSN 1999-4893. - ELETTRONICO. - 10:(2017), pp. 1-16. [doi:10.3390/a10020051]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/953670
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