Stereo Pair Generation by Introducing Bokeh Effect in 2D Images

TLDR: Gradient Magnitude Similarity Deviation which is a highly efficient perceptual quality index is used for the performance evaluation of final depth map and GMSD score is lowest in case offinal depth map which shows highest quality.

Abstract: The process of 2D to 3D involves depth map estimation of input image and stereo pair generation using that depth image. Fully automatic techniques are not able to give very high quality output and methods which involve human operators are costly and time consuming. We propose a semiautomatic technique which incorporates monocular depth cues if these are not present in the input image. We propose a method which first includes defocusing factor in the input image semi-automatically and then estimates depth from focus cue. We also used motion parallax as another monocular depth cue and evaluate the performance of final depth map. Gradient Magnitude Similarity Deviation which is a highly efficient perceptual quality index is used for the performance evaluation of final depth map. GMSD score is lowest in case of final depth map which shows highest quality. Finally, stereo pair is generated using original image and its depth map.