Showing papers on "Quantization (image processing) published in 1975"
30 Oct 1975
TL;DR: This work addresses the individual error sources in transform image coding by separating the component of the MSE introduced by transform coefficient deletion is separated from requantization effects.
Abstract: 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.© (1975) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
9 citations
TL;DR: Incoherent optical image processing operations that facilitate interpretation and data reduction are discussed, based on spatial pulse coding and quantization of density levels and of spatial frequency distributions, averaged over areal sampling cells.
2 citations