利用反向传播网络改进图像压缩

G. Qiu, T. Terrell, M. Varley
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引用次数: 19

摘要

本文介绍了一种利用反向传播网络改进的图像压缩方案。新方案旨在提高网络的泛化能力,从而使它们能够有效地压缩大范围的新图像。该网络在残差图像块上运行和训练,从而消除了Cottrell等人强调的平均图像强度变化的问题。本文给出了[3]方法和新技术的实验结果和重建新图像的实例,证明了使用该新技术获得的图像压缩性能的提高。131.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Image Compression Using Backpropagation Networks
This paper describes an improved image compression scheme using backpropagation networks. The new scheme is aimed at improving the networks' generalisation capabilities, thereby enabling them to effectively compress a wide range of novel images. The networks operate, and are trained on, residual image blocks, thus eliminating the problem of varying average image intensities highlighted by Cottrell et al. Tabulated experimental results and example reconstructed novel images, for the method of [3] and the new technique, are presented, which demonstrate the improved image compression performance gained using this new technique. 131.
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