A New Method for Deblurring of Fluid Lens-Captured Endoscopic Images Using Optimized Contourlet Transformation

Abstract

The fluid lens cameras are ideal candidates for medical imaging. Since no moving part is needed to change the focal length for focusing, the size of these generation of cameras are considerably smaller than the traditional glass lens cameras. The major drawback is that only one color channel can be in total focus, leaving the other two channels blurry, causing loss of edges and high frequency data of the two channels. In this paper, we use directional filters and contourlet transformation to retrieve the high frequency data to enhance the quality of the other two color channels. It is shown that it is important to choose the optimum number of contourlet decomposition level and also we will try to find a criteria to find the optimal number of levels. Using the proposed method on general and endoscopic images shows that the proposed algorithm yields to average PSNR improvement of 6.3[Formula: see text]db for endoscopic images which is 5.7[Formula: see text]db more than the previous proposed algorithm.