Open AccessDepth Estimation from Defocused Images: A Survey
Author(s) -
Jyoti B. Kulkarni,
C. M. SheelaRani
Publication year - 2018
Publication title -
international journal of advances in applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2722-2594
pISSN - 2252-8814
DOI - 10.11591/ijaas.v7.i3.pp220-225
Subject(s) - computer vision , artificial intelligence , observer (physics) , pixel , image (mathematics) , object (grammar) , computer science , mathematics , physics , quantum mechanics
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 paper 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.