Maurice Tutor

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  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 01 Nov 2017 My Price 5.00

uantization results

Consider an 8-pixel line of intensity data  If it is uniformly quantized with 4-bit accuracy, compute the rms error and rms signal-to-noise ratios for the quantized data

2. Although quantization results in information loss, it is sometimes invisible to the eye. For example, when 8-bit pixels are uniformly quantized to fewer bits>pixelfalse contouring often occurs. It can be reduced or eliminated using improved gray-scale (IGS) quantization. A sum—initially set to zero—is formed from the current 8-bit intensity value and the four least significant bits of the previously generated sum. If the four most significant bits of the intensity value are however, is added instead. The four most significant bits of the resulting sum are used as the coded pixel value.

(a) Construct the IGS code for the intensity data in Problem 8.3. (b) Compute the rms error and rms signal-to-noise ratios for the decoded IGSdata

 

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Maurice Tutor
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Status NEW Posted 01 Nov 2017 06:11 PM My Price 5.00

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