A pel-recursive Wiener-based displacement estimation algorithm
Signal Processing
Fundamentals of digital image processing
Fundamentals of digital image processing
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Recovery of Ego-Motion Using Region Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unified Approach to Moving Object Detection in 2D and 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance bounds on image registration
IEEE Transactions on Signal Processing
Signal subspace fusion of uncalibrated sensors with application in SAR and diagnostic medicine
IEEE Transactions on Image Processing
Hi-index | 0.00 |
This paper develops a block Wiener-based image registration method to align consecutive frames in a video sequence. The main purpose of this registration technique is to serve as a processing step in a moving target indication (MTI) algorithm, where subsequent steps include frame-to-frame differencing and thresholding. Experiments show that the block Wiener-based approach is computationally efficient and effective in terms of facilitating a MTI. These experiments compare the block Wiener-based against traditional global parametric registration, pixel-based Wiener registration, block-based motion compensation, and state-of-the-art phase-based registration.