Sensors, Vol. 24, Pages 2606: On the Initialization of Swarm Intelligence Algorithms for Vector Quantization Codebook Design

Sensors, Vol. 24, Pages 2606: On the Initialization of Swarm Intelligence Algorithms for Vector Quantization Codebook Design Sensors doi: 10.3390/s24082606 Authors: Verusca Severo Felipe B. S. Ferreira Rodrigo Spencer Arthur Nascimento Francisco Madeiro Vector Quantization (VQ) is a technique with a wide range of applications. For example, it can be used for image compression. The codebook design for VQ has great significance in the quality of the quantized signals and can benefit from the use of swarm intelligence. Initialization of the Linde–Buzo–Gray (LBG) algorithm, which is the most popular VQ codebook design algorithm, is a step that directly influences VQ performance, as the convergence speed and codebook quality depend on the initial codebook. A widely used initialization alternative is random initialization, in which the initial set of codevectors is drawn randomly from the training set. Other initialization methods can lead to a better quality of the designed codebooks. The present work evaluates the impacts of initialization strategies on swarm intelligence algorithms for codebook design in terms of the quality of the designed codebooks, assessed by the quality of the reconstructed images, and in terms of the convergence speed, evaluated by the number of iterations. Initialization strategies consist of a combination of codebooks obtained by initialization algorithms from the literature with codebooks composed of vectors r...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research