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一种改进的小波阈值图像去噪方法 被引量:9

An improved method for denoising of wavelet threshold images
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摘要 介绍了小波阈值图像去噪的原理,并对常规的软、硬阈值函数在图像去噪中存在的缺陷进行分析,在软、硬阈值函数的基础上提出了一种改进的阈值函数。通过对含噪声图像分别采用常规的软、硬阈值函数和改进的阈值函数进行去噪处理,实验对比得出:当选取了合适的控制系数时,改进的阈值函数在图像去噪中不仅保留了常规软、硬阈值函数的去噪优越性,而且还克服了常规软、硬阈值函数存在的去噪缺陷,比常规的软、硬阈值函数去噪效果更好。 The principle of wavelet threshold image denoising is introduced.The defect of traditional soft and hard threshold functions in image denoiing is analyzed.An improved threshold function is proposed on the basis of soft and hard threshold functions.The conventional hard,soft threshold functions and the improved function are used respectively in image denosing.The experimental result shows when a appropriate control coefficient is selected,the improved threshold function has not only retain the superiority of traditional soft and hard threshold functions,but also overcome the defect of traditional soft and hard threshold functions.The improved threshold function has better effect than the traditional soft and hard threshold functions in image denoising.
出处 《现代电子技术》 2012年第4期102-104,共3页 Modern Electronics Technique
关键词 图像去噪 阈值函数 均方差 峰值信噪比 image denosing threshold function MSE PSNR
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