【摘要】 由于光学性能及硬件配置的原因,普通的手机或数码相机难以拍摄出明显的小景深特写效果,对此提出一种基于非聚焦区径向梯度模糊的图像小景深转换算法.实现方法是:在大景深图像中指定聚焦对象所在目标区域,通过边缘检测及区域填充方法分割目标区中的聚焦对象,运用数学形态学闭运算对聚焦区进行修正,最后在非聚焦对象区上实现径向梯度模糊虚化背景,达到小景深效果的模拟.实验证明,该方法能精确区分聚焦对象区与非聚焦区,非聚焦区的径向梯度模糊使图像获得了自然、高质的小景深模拟效果.更多还原

【Abstract】 Common mobile phones or digital cameras can hardly get perfect small depth-of-field(DOF) photos due to their optical performance and hardware configuration.A small DOF simulation algorithm based on radial gradient blur in the unfocused region is thus presented. In the algorithm,a local target area is first designated in a large DOF image,where the edge of the focused object is detected first.The focused region is segmented by color filling,and mended by close operation of mathematical morphology. Finally the unfocused region is blurred with the radial gradient fuzzy method and the small DOF simulation result is achieved. Experimental results show that the algorithm can exactly distinguish the focused object region from the unfocused one,and small DOF images of natural high quality can be acquired with radial gradient blur.更多还原