【摘要】 成像过程中的光学像差,使得简单透镜成像系统只能获得低质量的模糊图像。针对这类模糊问题,提出一种联合自适应梯度稀疏和通道间相关性的去模糊算法。该算法对模糊图像3个颜色通道的平滑区域点和边缘点采用不同的稀疏约束,同时利用3个通道间的相关性,借助某个通道保留的边缘信息来复原其他通道的边缘信息。仿真实验结果表明,该方法对简单透镜获得的模糊图像复原质量较高,能取得较好的视觉效果。更多还原

【Abstract】 Due to optical aberrations in imaging optics,the image taken from simple lenses suffers from severe artifacts and blurring.Aiming at this kind of blurring problem,this paper proposed a deblurring method combining adaptive gradient sparsity and interchannel correlation.This method restores every color channel of the blurred images separately through imposing different sparse priors on points in smooth areas and at edges and using interchannel correlation constraint,which uses edge information preserved in some channel to restore another channel.The simulation experiment results show that the proposed method can achieve better restoration in respect of image resolution and visual effect for blurred images through simple lens.更多还原