Showing papers on "Quantization (image processing) published in 1973"
TL;DR: Numerical results indicate that images produced by this method offer considerable reduction in the error when compared with images produced from kinoforms made with the random phase method.
Abstract: An analysis of kinoform image reconstruction error is presented. This analysis considers the effects of the error introduced by the kinoform approximation and the quantization effects of plotting. The error measure developed is applied to a proposed method for computing kinoforms. Numerical results indicate that images produced by this method offer considerable reduction in the error when compared with images produced from kinoforms made with the random phase method.
203 citations
16 Apr 1973
TL;DR: The errors resulting from quantization trade-offs, as applied to several medical image processing problems, are examined.
Abstract: In the computer processing of dynamic images (cinefilm, TV) data volume and rates are usually excessively high. This is because of the addition of two spatial demensions to the normal time-domain processing problem. It has therefore been necessary to reduce the spatial and intensity resolution of the converted images. This paper examines the errors resulting from these quantization trade-offs, as applied to several medical image processing problems.
3 citations
TL;DR: Exact expressions are given for the mean and variance of errors that result when rounding and truncation is performed on both sign-magnitude and two's complement finite accuracy number representations.
Abstract: Exact expressions are given for the mean and variance of errors that result when rounding and truncation is performed on both sign-magnitude (SM) and two's complement (TC) finite accuracy number representations. The results are significantly different from those of the often-used continuous model in the important case of one- or two-bit quantization.
3 citations