基于新阈值的DWT和dammw算法的视频去噪和质量改进

2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) Pub Date : 2018-02-01 DOI:10.1109/SCEECS.2018.8546981

J. Upadhyay, Bharat Mishra, Prabhat Patel

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引用次数: 3

摘要

本文提出了一种新的彩色视频去噪算法。这是基于阈值的DWT和DAMMW滤波算法的联合实现。该方法在去噪参数方面有较好的改进，能够轻松去除各种类型的噪声。此外，该算法由一个新的小波阈值去噪函数和改进的阈值组成。它既保留了硬去噪和软去噪功能的优点，又克服了硬去噪和软去噪功能的缺点。仿真结果验证了所提工作的有效性。

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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VIDEO DENOISING AND QUALITY IMPROVEMENT USING NEW THRESHOLDING BASED DWT & DAMMW ALGORITHM

In this paper, a new algorithm for color video denoising is proposed. This is a joint implementation of thresholding based DWT & DAMMW filtering algorithms. It provides a better improvement in the parameters of denoising and removes any type of noise easily. Moreover, proposed algorithm consists of a new wavelet threshold denoising function with an improved threshold value. It will not only retain the advantages of hard and soft denoising functions but also overcomes the disadvantages of hard denoising function and soft denoising function. Simulation result ensures the effectiveness of proposed work.

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来源期刊

2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)

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