Paper Info
Title
Fast Local Motion Estimation and Robust Global Motion Decision for Digital Image Stabilization
Abstract
In this paper, we present a motion estimation method based on Gray-coded bit-plane matching for digital image stabilization systems. We achieve motion estimation by extracting four Gray-coded bit-planes from the image. Our proposed motion estimation approach can be realized using only Boolean functions, which significantly reduces the computational complexity while maintaining the accuracy of motion vectors. In addition, the global motion vector in the literature is decided directly from the local motion vectors in a simple way, which may obtain an unreliable resulting motion vector. We aim to this problem by proposing a more reliable algorithm to make the whole system more robust.
Year
DOI
Venue
2008
10.1109/IIH-MSP.2008.232
IIH-MSP
Keywords
Field
DocType
boolean function,global motion vector,motion estimation,local motion vector,fast local motion estimation,proposed motion estimation approach,digital image stabilization system,gray-coded bit-planes,gray-coded bit-plane,digital image,motion vector,motion estimation method,robust global motion decision,gray codes,boolean functions,correlation,image stabilization,histograms,pixel,gray code,computational complexity,digital images
Structure from motion,Computer vision,Block-matching algorithm,Quarter-pixel motion,Motion field,Computer science,Image stabilization,Digital image,Artificial intelligence,Motion estimation,Motion vector
Conference
Citations 
PageRank 
References 
2
0.39
5
Authors
2
Name
Order
Citations
PageRank
Tien-Ying Kuo114819.24
Chung-Hsin Wang220.39