Video compression in signal-dependent noise

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Title: Video compression in signal-dependent noise
Author: Upadhya, Ashwin Kumar
Abstract: This work investigates the performance of video compression techniques in the presence of signal -dependent noise . The signal -dependent noise sources most commonly encountered are film -grain noise and speckle . Film -grain noise degradation occurs when a photographic film is scanned for the purpose of digitization [6] . All types of coherent imaging techniques , such as synthetic aperture radar (SAR ) imagery , laser illuminated imagery , astronomical imagery and ultrasonic medical imagery are affected by speckle . Noise in the video not only affects the quality of the video , but also the compression scheme for the video . It is of utmost importance to improve the quality of video and also the achievable compression , for the sake of archiving , in applications such as medical imagery . This work aims to investigate techniques to improve the quality and achievable compression of moving pictures (video ) , keeping in mind such applications . There is no real consensus yet on the "best" quality measure to use for determining the quality of the output video , so we will use the standard mean square error , log mean square error , signal -to -noise ratio and perceptual mean square error (which is modeled on the human visual system ) in this work .
URI: http : / /hdl .handle .net /2346 /11131
Date: 1996-12


Upadhya, Ashwin Kumar Video compression in signal-dependent noise. Master's thesis, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /11131 .

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