The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Motion compensation using correlation-feedback
Author:	Shifa, Zebiba
View Online:	njit-etd1994-125 (x, 60 pages ~ 4.3 MB pdf)
Department:	Department of Electrical and Computer Engineering
Degree:	Master of Science
Program:	Electrical Engineering
Document Type:	Thesis
Advisory Committee:	Shi, Yun Q. (Committee chair) Ansari, Nirwan (Committee member) Reisman, Stanley S. (Committee member)
Date:	1994-05
Keywords:	Image compression. Image processing--Digital techniques. Motion--Analysis.
Availability:	Unrestricted
Abstract:	Motion compensation is widely used for exploiting temporal redundancies in the coding of image sequences. Accurate estimation of motion information in image sequences is important in motion-compensated coding. Different approaches have been used to estimate motion to obtain the motion-compensated frame difference signal. This work uses the correlation-feedback approach to estimate the velocity or the optic flow of the moving image pixel. After the motion of the pixel is estimated. the motion-compensated frame difference signal is found by subtracting the current. frame from the predicted frame. This correlation-feedback approach estimates the true motion vector of moving image accurately. Consequently, the reduced error in determining the optic flow of the moving image leads to a better motion-compensated frame difference signal. This work evaluates the performance of the correlation-feedback method by comparing it with the gradient-based approach and block method.