CAJ | 학술논문

目前获取数字图像的方法存在使图像质量明显下降的问题，迫切需要图像复原的方法，对图像进行重建。在已知点扩散函数的情况下，通过摒弃传统的依赖噪声求出增益矩阵的过程，从修复增益矩阵出发，使复原后的图像更接近原始图像。新方法在递推过程中矫正增益滤波偏大或偏小的现象，从而减少因为缺少噪声信息而产生的误差，而且相较于其他迭代算法，该方法时间复杂度较低。实验结果表明新方法可以有效地保证复原图像质量，并提高效率。
목전획취수자도상적방법존재사도상질량명현하강적문제，박절수요도상복원적방법，대도상진행중건。재이지점확산함수적정황하，통과병기전통적의뢰조성구출증익구진적과정，종수복증익구진출발，사복원후적도상경접근원시도상。신방법재체추과정중교정증익려파편대혹편소적현상，종이감소인위결소조성신식이산생적오차，이차상교우기타질대산법，해방법시간복잡도교저。실험결과표명신방법가이유효지보증복원도상질량，병제고효솔。
In order to solve the problem of manifest degradation in image quality while accessing to digital images,it is urgently need an image restoration technique to reconstruct the image.Under the condition of the point spread function is known,we get rid of the traditional progress of calculating the gain matrix relying on noise,through this and proceeding from restoring the gain matrix,we make the restored image more approaching the original image.The new method rectifies in recursion process the phenomenon of either larger or smaller in gain filtering so that the errors generated caused by lack of noise information are reduced.Moreover,the new algorithm has lower time complex than other iterative algorithms.Experimental result shows that the new method can effectively guarantee the quality of the restored image and raises the efficiency as well.