CAJ | 학술논문

去噪处理是图像处理中较为重要的环节.针对加噪后的图像的直方图进行分析,依据最小错误率贝叶斯决策和均值滤波理论,提出一种基于均值滤波和最小错误率贝叶斯决策的去噪方法.首先对加入噪声后的图像直方图进行统计,从中估计出服从分布的不同类别参数,对图像中每一像素点进行判断是否为噪声,对噪声点进行基于均值滤波的处理.通过试验,取得了良好的效果.
거조처리시도상처리중교위중요적배절.침대가조후적도상적직방도진행분석,의거최소착오솔패협사결책화균치려파이론,제출일충기우균치려파화최소착오솔패협사결책적거조방법.수선대가입조성후적도상직방도진행통계,종중고계출복종분포적불동유별삼수,대도상중매일상소점진행판단시부위조성,대조성점진행기우균치려파적처리.통과시험,취득료량호적효과.
Noise reduction is one of the most important parts of image processing/This paper analyzes the histogram of noise polluted images and presents a novel denoising algorithm based on the minimum error Bayes decision and the theory of meaning filtering.First the histogram of noise polluted images is counted and difference parameters are estimated.Then whether it is a noise or not to each pixel point in the image is decided.And the noise using meaning filtering is processed.The experiment results show that the algorithm presented in this paper is feasible and good.