Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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.
How to cite this article:
Jyoti Kulkarni and Dr. Manna Sheela Rani Chetty. Depth Estimation from Defocused Images: A Survey.
DOI: https://doi.org/10.36478/jeasci.2019.331.335
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.331.335