The process of 2D to 3D involves depth map estimation of
input image and stereo pair generation using that depth im-
age. Fully automatic techniques are not able to give very
high quality output and methods which involve human op-
erators are costly and time consuming. We propose a semi-
automatic technique which incorporates monocular depth
cues if these are not present in the input image. We pro-
pose a method which rst 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 nal
depth map. Gradient Magnitude Similarity Deviation which
is a highly ecient perceptual quality index is used for the
performance evaluation of nal depth map. GMSD score is
lowest in case of nal depth map which shows highest qual-
ity. Finally, stereo pair is generated using original image and
its depth map