Image Compression using Artificial Neural Networks

P. V. Rao, S. Madhusudana, Nachiketh S.S., K. Keerthi
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引用次数: 14

Abstract

This paper explores the application of artificial neural networks to image compression. An image compressing algorithm based on Back Propagation (BP) network is developed after image pre-processing. By implementing the proposed scheme the influence of different transfer functions and compression ratios within the scheme is investigated. It has been demonstrated through several experiments that peak-signal-to-noise ratio (PSNR) almost remains same for all compression ratios while mean square error (MSE) varies.
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基于人工神经网络的图像压缩
本文探讨了人工神经网络在图像压缩中的应用。在对图像进行预处理后,提出了一种基于BP网络的图像压缩算法。通过实施该方案,研究了方案内不同传递函数和压缩比的影响。通过几个实验已经证明,峰值信噪比(PSNR)几乎保持相同的所有压缩比,而均方误差(MSE)变化。
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