Paper Info
Title
Measure of image focus using image segmentation and SML for light field images.
Abstract
In this paper, a detection method of in-focused regions in the light field stack images is proposed. Its main motivation is that the focus measure with region-based image algorithms can be more meaningful than the focus measure with pixel-based algorithms which just consider individual pixels or associated local neighborhoods of pixels in the focus measure process. After we employ the normalized cut method to segment the light field stack images, we apply the sum-modified-Laplacian operation to the corresponding segmented regions. This process provides a focus measurement to select suitable in-focused areas of the stack images. Since only sharply focused regions have high responses, the in-focused regions can be detected. In addition, the all-focused image can be reconstructed by combining all in-focused image regions.
Year
Venue
Field
2016
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Computer vision,Normalization (statistics),Feature detection (computer vision),Pattern recognition,Image segmentation,Light field,Root mean square,Pixel,Focus measure,Artificial intelligence,Mathematics
DocType
ISSN
Citations 
Conference
2309-9402
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Wisarut Chantara101.01
Yo-Sung Ho21288146.57