小波
算法
降噪
分形
数学
小波变换
级联算法
模式识别(心理学)
计算机科学
噪音(视频)
峰值信噪比
人工智能
小波包分解
图像(数学)
数学分析
出处
期刊:2019 International Conference on Image and Video Processing, and Artificial Intelligence
日期:2019-11-27
摘要
An image denoising and enhancement algorithm based on fractal coding in wavelet domain is presented. Among them, A lemma is introduced first, and the advantages of fractal coding in wavelet domain are analyzed. Then, the denoising algorithm and experimental results based on fractal coding in wavelet domain are given in detail, and the experimental results are analyzed. When the noise level is high, the denoising effect of this method is better than that of the general method, and has higher logarithmic signal-to-noise ratio and peak logarithmic signal-to-noise ratio. At the same time, the calculation amount of this algorithm is smaller and the precision is higher.
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