使用神经网络进行图像压缩的经验

I. Vilović
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引用次数: 47

摘要

有许多实验使用神经网络作为图像压缩的信号处理工具。本文提出了一种利用神经网络进行图像压缩的直接求解方法。介绍了利用多层感知器进行图像压缩的经验。利用多层感知器对图像进行变换编码。根据不同的隐神经元个数对压缩比有直接影响,对网络进行训练。对不同的图像进行了实验,这些图像被分割成不同大小的块用于压缩过程。利用信噪比和每像素比特数对重构图像与原始图像进行比较。结果表明,多层感知器用于图像压缩是可行的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Experience in Image Compression Using Neural Networks
There are number trials of using neural networks as signal processing tools for image compression. In this paper, a direct solution method is used for image compression using the neural networks. An experience of using multilayer perceptron for image compression is presented. The multilayer perceptron is used for transform coding of the image. The network is trained for different number of hidden neurons with direct impact to compress ratio. It is experimented with different images that have been segmented in the blocks of various sizes for compression process. Reconstructed image is compared with original image using signal-to-noise ratio and number of bits per pixel. The results show the possibility of using multilayer perceptrons for image compression
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