@article{MAKHILLJEAS201914217330,
    title = {Depth Estimation from Defocused Images: A Survey},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {2},
    pages = {331-335},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.331.335},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.331.335},
    author = {Jyoti and},
    keywords = {Depth map,defocusing or blurring,gray level image,depth perception,triangulation,stereo vision},
    abstract = {An important step in 3D data generation is the generation of depth map. Depth map is a black and
white image which has exactly the same size of the original captured 2D image that indicates the relative
distance of each pixel from the observer to the objects in the real world. This study presents a survey of depth
perception from defocused or blurs images as well as image from motion. The change of distance of the object
from the camera has direct relation with the amount of blurring of object in the image. The amount of blurring
will be calculated with a comparison in front of the camera directly and can be seen with the changes at gray
level around the edges of objects.}
    }