基于变换的图像去噪研究进展

2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE) Pub Date : 2017-10-01 DOI:10.1109/RISE.2017.8378147

Nidhi Soni, K. Kirar

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引用次数: 4

摘要

从原始图像中去除噪声的挑战仍然存在。在过去的二十年里，各种各样的降噪技术已经被开发出来。本文综述了基于变换的去噪技术，并对其进行了比较研究。在这里，我们给出了不同方法的结果，包括一般脊波和曲线、经验模态分解和经验脊波和曲线。在PSNR方面提出了比较的定量度量。

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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Transform based image denoising: A review

The challenge to remove noise from original image still exists. Over the past two decades, different kinds of noise reduction techniques have been developed. This paper reviews the transform based denoising techniques and performs their comparative study. Here we put results of different approaches including general ridgelets and curvelets, Empirical Mode Decomposition and Empirical ridgelets and curvelets. A quantitative measure of comparisons is presented in terms of PSNR.

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来源期刊

2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE)

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