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The mean square error (MSE) is a classical measure of image distortion. However, this metric is generally not a faithful indication of subjective image quality. We attempt to correct this deficiency by addressing the individual error sources in transform image coding. Specifically, the component of the MSE introduced by transform coefficient deletion is separated from requantization effects. Results are demonstrated in both numerical and pictorial form.
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Parsons et al. (1975) studied this question.
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