International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation AFM(Adaptive focus measure) with B-spline polynomial for Image Depth estimation, Authors : K.Kanthamma , Dr.S.A.K.Jilani , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 6, Issue 2, March - April 2017

Title:
AFM(Adaptive focus measure) with B-spline polynomial for Image Depth estimation
Author Name:
K.Kanthamma , Dr.S.A.K.Jilani
Abstract:
Abstract Shape from focus (SFF) techniques every now and again utilizes a solitary focus measure to get a depth map. Basic focus measures are settled and spatially invariant. In this paper we display a work to make an adaptive focus measure with B-spline interpolation. In this method we can deal the extent of the support window can be expanded advantageously for vigorous depth estimation without presenting any window measure related SFF issues, and depth discontinuities. We likewise presented B-spline addition for the depth approximation, regarding shape smoothness and depth discontinuities. We assess the execution of our new approach by broad analyses with profoundly synthetic images and real time images captured by Logitech C920.
Cite this article:
K.Kanthamma , Dr.S.A.K.Jilani , " AFM(Adaptive focus measure) with B-spline polynomial for Image Depth estimation " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 6, Issue 2, March - April 2017 , pp. 036-039 , ISSN 2278-6856.
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