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Image Compression Algorithm Based on Morphological Associative Memories

机译:基于形态联想记忆的图像压缩算法

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摘要

A new method for image compression based on Morphological Associative Memories (MAM) is proposed. We used MAM at the transformation stage of image coding, thereby replacing the traditional methods such as Discrete Cosine Transform or Wavelet Transform. After applying the MAM, the informative image data are concentrated in a minimum of values. The next stages of image coding can be obtained by taking advantage of this new representation of the image. The main advantage offered by the MAM with respect to the traditional methods is the speed of processing, whereas the compression rate and the obtained signal to noise ratios compete with the traditional methods.
机译:提出了一种基于形态联想记忆(MAM)的图像压缩新方法。我们在图像编码的转换阶段使用了MAM,从而取代了诸如离散余弦变换或小波变换之类的传统方法。应用MAM之后,信息图像数据将集中在最小值中。可以通过利用图像的这种新表示来获得图像编码的下一阶段。 MAM相对于传统方法提供的主要优势是处理速度,而压缩率和所获得的信噪比与传统方法竞争。

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