基于曲波变换的嵌入式有损图像压缩

2007 International Conference on Signal Processing, Communications and Networking Pub Date : 2007-11-05 DOI:10.1109/ICSCN.2007.350745

M. Manikandan, A. Saravanan, K. Bagan

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引用次数: 21

摘要

曲波变换是近年来发展起来的一种多尺度变换，它具有方向性特征，能够对具有边缘的物体进行最优的稀疏表示。提出了一种基于第二代数字曲线变换的有损图像压缩算法。将所得结果与基于小波变换的图像压缩方法进行了比较。选择压缩比和PSNR作为性能指标，曲线变换比小波变换需要更少的系数来真实地表示图像

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Curvelet Transform Based Embedded Lossy Image Compression

Curvelet transform is one of the recently developed multiscale transform, which possess directional features and provides optimally sparse representation of objects with edges. In this paper an algorithm for lossy image compression based on the second generation digital curvelet transform is proposed. The results are compared with the results obtained from wavelet based image compression methods. Compression ratio and PSNR are selected as the performance metrics,and it is shown that curvelet transform require fewer coefficients than wavelet transform to represent an image faithfully

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来源期刊

2007 International Conference on Signal Processing, Communications and Networking

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