Showing papers on "Subpixel rendering published in 1983"
Patent•
22 Jun 1983
TL;DR: In this article, the subpixel values for a given pixel are derived by examining the nearest neighboring pixels and by utilizing enhancement algorithms represented by data in lookup tables, which are fed through a digital to analog converter where the appropriate synchronization is added so that the analog outputs of the three branches of the device conform to the RS 343A format.
Abstract: An NTSC composite color video signal is dematrixed and its RGB components are digitized so that each image or input frame is represented by a 512×512 pixel array. One high resolution output field is generated for each input frame by deriving a plurality of subpixel values for each input pixel. The subpixel values for a given pixel are derived by examining the nearest neighboring pixels and by utilizing enhancement algorithms represented by data in lookup tables. Signal to noise ratio improvement is achieved by comparing each given pixel value to the values of its neighboring pixels and then deciding whether or not to keep the given pixel value or to replace it with the median of it and its nearest neighbors. The subpixel values are fed through a digital to analog converter where the appropriate synchronization is added so that the analog outputs of the three branches of the device conform to the RS 343A format.
39 citations
TL;DR: It is found that methods taking the intensities of the edge pixels into account yield little or no improvement over a simple method of least-squares estimation based only on the locations of these pixels.
37 citations
TL;DR: A subpixel addressability feature allows this algorithm to address vector end points between pixel centers and helps it eliminate the Achilles' heel of raster displays¿jaggies.
Abstract: A subpixel addressability feature allows this algorithm to address vector end points between pixel centers and helps it eliminate the Achilles' heel of raster displays?jaggies.
35 citations
01 Jan 1983
TL;DR: In this article, a probabilistic model for subpixel offset estimation is proposed. But the model is limited to the pixels in an observed digital straight line and does not cover all the pixels.
Abstract: Geometric and probabilistic models for subpixel accuracy are developed. The geometric models bound the error in offset estimation using the pixels in an observed digital straight line. One probabilistic model bounds the estimate of error offset for continuous images. The other model bounds the error for discrete images given that one is in the correct pixel.
2 citations