CAJ | 학술논문

图像去噪要求在尽量保留有用信息完整性的基础上去除干扰信息,同时保证去噪结果的时域稳定性.在非局部平均NLM(Non-Local Means)算法的基础上提出了更加合理的图像三维去噪算法.该算法首先进行 NLM 空域去噪,然后再对空域去噪的结果进行加权平均的时域去噪.实验结果表明,本算法和传统去噪算法相比具有去噪结果稳定并不模糊细节的优点,为实际工程应用提供了技术支撑.
도상거조요구재진량보류유용신식완정성적기출상거제간우신식,동시보증거조결과적시역은정성.재비국부평균NLM(Non-Local Means)산법적기출상제출료경가합리적도상삼유거조산법.해산법수선진행 NLM 공역거조,연후재대공역거조적결과진행가권평균적시역거조.실험결과표명,본산법화전통거조산법상비구유거조결과은정병불모호세절적우점,위실제공정응용제공료기술지탱.
Image denoising removes noise based on keeping useful information as much as possible besides ensuring the stability in time domain of denoising results. This paper presents a more reasonable image three-dimensional denoising algorithm based on the NLM. At First, the NLM is used to remove spatial noise;then, the weighted mean algorithm is used to process the results to remove the noise in time domain. The experimental results show that such algorithm has the advantages of denoising stably without blurring image details compared with the traditional noise reduction algorithms. It also provides a strong technical support for engineering application.