Open AccessA depth estimation algorithm with a single image
Author(s) -
Veysel Aslantaş
Publication year - 2007
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.15.005024
Subject(s) - sharpening , convolution (computer science) , computer vision , artificial intelligence , object (grammar) , point spread function , optics , filter (signal processing) , computation , image (mathematics) , computer science , gaussian , enhanced data rates for gsm evolution , orientation (vector space) , image processing , algorithm , mathematics , physics , artificial neural network , geometry , quantum mechanics
This paper explains the use of a sharpening filter to calculate the depth of an object from a blurred image of it. It presents a technique which is independent of edge orientation. The technique is based on the assumption that a defocused image of an object is the convolution of a sharp image of the same object with a two-dimensional Gaussian function whose spread parameter (SP) is related to the object depth. A sharp image of an object is obtained from a defocused image of the same object by applying sharpening filters. The defocused and sharp images of the object are used to calculate the SP which is then related to the object depth. The paper gives experimental results which show the feasibility of employing sharpening filters for depth computation.