小波图像的渐进式传输:利用Renyi广义熵的评价

Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341) Pub Date : 1998-05-24 DOI:10.1109/CCECE.1998.682735

R. Dansereau, W. Kinsner

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引用次数: 5

摘要

本文利用Renyi广义维数D/sub q/探讨了基于小波的渐进图像传输中连续步骤的质量。Renyi广义维数用于测量图像内的多重分形复杂度，为我们提供了一种评估图像质量的工具，而不是传统的PSNR。我们通过去噪、零树编码和自适应算法编码将其应用于基于小波的渐进图像传输方案，以查看D/sub q/在图像重构时如何变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Progressive transmission of images using wavelets: evaluation using the Renyi generalized entropy

This paper explores the quality of successive steps in a wavelet based progressive image transmission, using the Renyi generalized dimension D/sub q/. The Renyi generalized dimension is used to measure the multifractal complexity within an image giving us a tool for evaluating image quality other than the traditional PSNR. We apply this to a wavelet based progressive image transmission scheme through denoising, zerotree coding, and adaptive arithmetic coding to see how D/sub q/ changes as the image is reconstructed.

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Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)

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