Adaptive Vector Quantization for Lossy Compression of Image Sequences
AbstractIn 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. View Full-Text
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Pizzolante, R.; Carpentieri, B.; De Agostino, S. Adaptive Vector Quantization for Lossy Compression of Image Sequences . Algorithms 2017, 10, 51.
Pizzolante R, Carpentieri B, De Agostino S. Adaptive Vector Quantization for Lossy Compression of Image Sequences . Algorithms. 2017; 10(2):51.Chicago/Turabian Style
Pizzolante, Raffaele; Carpentieri, Bruno; De Agostino, Sergio. 2017. "Adaptive Vector Quantization for Lossy Compression of Image Sequences ." Algorithms 10, no. 2: 51.
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