Date of Award

Spring 5-31-1994

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Yun Q. Shi

Second Advisor

Nirwan Ansari

Third Advisor

Stanley S. Reisman

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.

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