Abstract—Image blurring is a very attractive feature of photography. Due to hardware constraint, it is nearly impossible for compact DC to produce such image with blurred background. In this paper, we propose a system to simulate background blurring function, which consists of two main steps. In foreground extraction step, firstly, we select mean shift based segmentation method to get over-segmented regions. Then we extract both texture and color features for each region. Furthermore, based on input stroke information, the foreground centroids are clustered and all regions are classified into foreground and background considering both feature value and coordinate value. In background blurring step, to make the simulation result more natural, we calculate the distance of each pixels in the background to the foreground based on distance transform and give different blurring effect according to the distance. The experimental results show that the system can produce stratifying result and gain relatively high subjective evaluation.

Index Terms—Image segmentation, foreground object extraction, distance transform, image blur.

Qingwei Wang is with the State Intellectual Property Office of PRC,China (e-mail: wqwszc@sohu.com).

Cite: Qingwei Wang, "Make Your Picture More Attractive – An Interactive System for Image Blur," International Journal of Computer and Communication Engineering vol. 1, no. 4, pp. 462-465 , 2012.