Morphological hetero-associative memories applied to restore true-color patterns

Abstract

Morphological associative memories (MAMs) are a special type of associative memory which exhibit optimal absolute storage capacity and one-step convergence. This associative model substitutes the additions and multiplications by additions/subtractions and maximums/minimums. This type of associative model has been applied to different pattern recognition problems including face localization and reconstruction of gray scale images. Despite of his power, it has not been applied to problems involving true-color patterns. In this paper we describe how a Morphological Hetero-associative Memory (MHAM) can be applied in problems that involve true-color patterns. In addition, a study of the behavior of this associative model in the reconstruction of true-color images is performed using a benchmark of 14400 images altered by different type of noises. © 2009 Springer Berlin Heidelberg.