@inproceedings{850a1323163543b9b2c176a0a1f95ac4,
title = "Design of an evolutionary codebook based on morphological associative memories",
abstract = "A central issue in the use of vector quantization (VQ) for speech or image compression is the specification of the codebook. In this paper, the design of an evolutionary codebook based on morphological associative memories (MAM) is presented. The algorithm proposed for codebook generation involves two steps. First, having a set of images, one of the images is chosen to create the initial codebook. The algorithm applied to the image for codebook generation uses the morphological autoassociative memories (MAAM). Second, an evolution process of codebook creation occurs applying the algorithm on new images. This process adds the information codified of the next image to the codebook allowing to recover the images with better quality without affecting the processing speed. The performance of the generated codebook is analyzed in case when MAAM in both max and min categories are used. The presented algorithm was applied to image set after discrete cosine transformation followed by a quantization process. The proposed algorithm has a high processing speed and provides a notable improvement in signal to noise ratio.",
keywords = "Codebook generation, Evolutionary codebook, Morphological associative memories",
author = "Enrique Guzm{\'a}n and Oleksiy Pogrebnyak and Cornelio Ya{\~n}ez",
year = "2007",
doi = "10.1007/978-3-540-76631-5_57",
language = "Ingl{\'e}s",
isbn = "9783540766308",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "601--611",
booktitle = "MICAI 2007",
address = "Alemania",
note = "6th Mexican International Conference on Artificial Intelligence, MICAI 2007 ; Conference date: 04-11-2007 Through 10-11-2007",
}