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Spherical CIELab QAMs: Associative Memories Based on the CIELab System and Quantales for the Storage of Color Images

机译:球形CIELab QAM:基于CIELab系统和Quantale的关联存储器,用于存储彩色图像

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A quantale is the mathematical structure obtained by enriching a complete lattice with an associative binary operation which commutes with the supremum operation. We refer to an associative memory model that performs operations in a quantale as a quantale-based associative memory (QAM). Examples of QAMs include many lattice-based models such as gray-scale morphological associative memories and implicative fuzzy associative memories. Besides introducing auto-associative QAMs, this paper presents a QAM model for the storage and recall of color patterns. Specifically, novel QAM models, referred to as spherical CIELab QAMs, are defined in terms of the spherical coordinates of the CIELab system with an ordering scheme and a binary operation that yields a quantale. Computational experiments reveal that the spherical CIELab QAMs exhibit some tolerance with respect to impulsive noise.
机译:量子是通过用与最高运算相通的关联二进制运算来丰富完整晶格而获得的数学结构。我们将在量化中执行操作的关联存储器模型称为基于量化的关联存储器(QAM)。 QAM的示例包括许多基于晶格的模型,例如灰度形态关联记忆和隐含模糊关联记忆。除了介绍自动关联的QAM外,本文还介绍了一种用于存储和调用彩色图案的QAM模型。具体来说,根据CIELab系统的球坐标,使用排序方案和产生量子的二元运算来定义新颖的QAM模型(称为球形CIELab QAM)。计算实验表明,球形CIELab QAM对脉冲噪声表现出一定的容忍度。

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