Image generation and processing
    1.
    发明公开
    Image generation and processing 失效
    图像生成和处理

    公开(公告)号:EP0425315A3

    公开(公告)日:1992-10-07

    申请号:EP90311787.7

    申请日:1990-10-26

    Inventor: Stark, Jaroslav

    CPC classification number: G06N3/0635 G06N3/0418

    Abstract: In a process for generating images using the mathematical framework of fractals implemented as a neural network architecture, processing for each pixel of the image is carried out by a respective processing element (10,11). All of the elements operate in parallel, thereby achieving very fast processing. The generated image is determined by the strengths of the connections between the processing elements. The processing elements may be individual elements or may be implemented in a computer. The image to be generated is preferably encoded as an Iterated Function System.

    Abstract translation: 在使用实现为神经网络架构的分形数学框架生成图像的过程中,通过相应的处理元件(10,11)执行图像的每个像素的处理。 所有的元件都是并行操作的,从而实现了非常快速的处理。 生成的图像由处理元件之间的连接的强度确定。 处理元件可以是单独元件或者可以在计算机中实现。 要生成的图像优选地被编码为迭代函数系统。

    Image generation and processing
    2.
    发明公开
    Image generation and processing 失效
    Bilderzeugung und -verarbeitung。

    公开(公告)号:EP0425315A2

    公开(公告)日:1991-05-02

    申请号:EP90311787.7

    申请日:1990-10-26

    Inventor: Stark, Jaroslav

    CPC classification number: G06N3/0635 G06N3/0418

    Abstract: In a process for generating images using the mathematical framework of fractals implemented as a neural network architecture, processing for each pixel of the image is carried out by a respective processing element (10,11). All of the elements operate in parallel, thereby achieving very fast processing. The generated image is determined by the strengths of the connections between the processing elements. The processing elements may be individual elements or may be implemented in a computer. The image to be generated is preferably encoded as an Iterated Function System.

    Abstract translation: 在使用实现为神经网络架构的分形数学框架生成图像的过程中,通过相应的处理元件(10,11)执行图像的每个像素的处理。 所有的元件都是并行操作的,从而实现了非常快速的处理。 生成的图像由处理元件之间的连接的强度确定。 处理元件可以是单独元件或者可以在计算机中实现。 要生成的图像优选地被编码为迭代函数系统。

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