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METHOD FOR COMPRESSING IMAGES BY SELF-ORGANIZATION OF A NEURONAL NETWORK

机译:神经网络的自组织压缩图像的方法

摘要

The image compression method comprises: treating a current block of pixels moved in the image to be compressed using a network of N neurons, from 1 to N, arranged in the same plane, each neuron having an equal number of inputs the dimension of the blocks extracted from the image, and such that, after a learning phase during which the network is self-organized, so that neurons represent the most probable input values, each neuron receives at the same moment as inputs the pixels of the current block and outputs a signal, or potential, dj, which is positive and decreases as the state of the corresponding neuron j is close to the state of the inputs ei, to code the current pixel block by a code associated with neuron j dj whose potential is minimal. The invention applies in particular to the compression of television pictures.
机译:图像压缩方法包括:使用排列在同一平面上的N个神经元网络(从1到N)处理要压缩的图像中要移动的当前像素块,每个神经元具有相等数量的输入,块的尺寸从图像中提取出来,这样,在学习阶段(网络是自组织的)之后,神经元就代表了最可能的输入值,每个神经元在输入的同时接收当前块的像素并输出一个信号或电位dj为正,并随着相应神经元j的状态接近输入ei的状态而减小,以通过与电位最小的神经元j dj相关的代码对当前像素块进行编码。本发明尤其适用于电视图像的压缩。

著录项

  • 公开/公告号EP0456804A1

    专利类型

  • 公开/公告日1991-11-21

    原文格式PDF

  • 申请/专利权人 THOMSON-CSF;

    申请/专利号EP19910900843

  • 发明设计人 BUREL GILLES;POITIER ISABELLE;

    申请日1990-12-06

  • 分类号G06F15/18;G06K9/62;G06N99/00;G06T3/40;G06T9/00;H04N1/41;H04N1/415;H04N7/26;H04N11/04;

  • 国家 EP

  • 入库时间 2022-08-22 05:30:44

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