CAJ | 학술논문

为了减少图像中的椒盐噪声对后续图像处理的影响，针对高密度噪声污染图像，提出了基于位函数最优迭代的椒盐噪声滤波算法。利用位函数的细节保证性能，最大限度地恢复图像的细节信息，使得高密度噪声污染图像也能得到较好地恢复。实验结果表明，所提出的滤波算法具有较强的自适应性及较好的滤波效果。
위료감소도상중적초염조성대후속도상처리적영향，침대고밀도조성오염도상，제출료기우위함수최우질대적초염조성려파산법。이용위함수적세절보증성능，최대한도지회복도상적세절신식，사득고밀도조성오염도상야능득도교호지회복。실험결과표명，소제출적려파산법구유교강적자괄응성급교호적려파효과。
To reduce the influence of salt&pepper noise in images on subsequent image processing, a high-density salt&pep-per noise filtering algorithm based on noise detection is proposed for high-density noise polluted images in this paper. Considering that potential function has the ability of edge-preserving, detailed image information is protected in a maximum scale and high-densi-ty noise polluted images can be restored. Experiment results show that the filtering algorithm presented in this article has high self-adaptability and good filtering effect.