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Yao Wang, Ouseb Lee (1994)
Active mesh-a feature seeking and tracking image sequence representation schemeIEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 3 5
B. Girod (1987)
The Efficiency of Motion-Compensating Prediction for Hybrid Coding of Video SequencesIEEE J. Sel. Areas Commun., 5
R. Crane (1996)
A Simplified Approach to Image Processing: Classical and Modern Techniques in C
G. Sullivan, R. Baker (1991)
Motion compensation for video compression using control grid interpolation[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing
Ouseb Lee, Yao Wang (1995)
Nonuniform image sampling and interpolation over deformed meshes and its hierarchical extension, 2501
(2004)
- l t, based function approximation and mapping
Y. Nakaya, H. Harashima (1994)
Motion compensation based on spatial transformationsIEEE Trans. Circuits Syst. Video Technol., 4
G. Wolberg (1990)
Digital image warping
Y. Altunbasak, A. Tekalp (1996)
Closed-form solutions for polygon-based node motion estimation, 2727
(1990)
Image Warping, IEEE Computer Society
Yao Wang, Ouseb Lee (1996)
Use of two-dimensional deformable mesh structures for video coding .I. The synthesis problem: mesh-based function approximation and mappingIEEE Trans. Circuits Syst. Video Technol., 6
Jacek NiewGglowski, T. Campbell, Petri Haavisto, Warping Prediction (1993)
A novel video coding scheme based on temporal prediction using digital image warpingIEEE 1993 International Conference on Consumer Electronics Digest of Technical Papers
Chung-Lin Huang, Chao-Yuen Hsu (1994)
A new motion compensation method for image sequence coding using hierarchical grid interpolationIEEE Trans. Circuits Syst. Video Technol., 4
(2004)
Fast image warping . . . 614 Optical Engineering
The block-matching motion estimation algorithm using a translational motion model cannot provide acceptable image quality in low bit-rate coding. To improve coding performance, we can use image warping using affine transformation as a more complicated motion model than the translational motion model. However, when some node points are flipped over in the image warping method, it creates severe deformations of the mesh structure and brings image degradations. It also requires large computational complexity. We show that wide search ranges do not always improve reconstructed image quality due to the large deformation of meshes. We analyze optimal search ranges according to frame difference and decide variable search ranges adaptively to get a motion vector at each node point. Since the block with a larger error than a threshold makes a large distortion, we give higher priority during motion estimation at a certain rate. To reduce computational complexity, we also introduce an adaptive partial matching method instead of applying the hexagonal matching method on the whole image. As a result, we develop an effective image warping method in terms of computational complexity, reasonable reconstructed image quality, and fewer number of coding bits. © 2004 Society of Photo-Optical Instrumentation Engineers.
Optical Engineering – SPIE
Published: Mar 1, 2004
Keywords: image warping; affine transform; motion estimation; partial matching
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