Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design

Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design

The performance of signal processing systems based on vector quantization depends on codebook design. In the image compression scenario, the quality of the reconstructed images depends on the codebooks used. In this paper, alternatives are proposed for accelerating families of fuzzy K-means algorith...

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Bibliographic Details
Main Authors: Edson Mata, Silvio Bandeira, Paulo de Mattos Neto, Waslon Lopes, Francisco Madeiro
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Sensors
Subjects:
fuzzy K-means
vector quantization
computational complexity
Online Access:http://www.mdpi.com/1424-8220/16/11/1963

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