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Subpixel rendering

About: Subpixel rendering is a research topic. Over the lifetime, 3885 publications have been published within this topic receiving 82789 citations.


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Proceedings ArticleDOI
27 Dec 2004
TL;DR: This paper compares three basis-vector selection methods as applied to subpixel target detection and finds ROC curves to describe the relationship between the detection rate (DR) and the false alarm rate (FAR).
Abstract: In this paper, we compare three basis-vector selection methods as applied to subpixel target detection. This is a continuation of previous research in which a similar comparison was performed based on an AVIRIS image. Our goal is to find out to what extent our previous observations apply more broadly to other images, more specifically, a HYDICE image used in this paper. Our target detection approach is based on generating a radiance target region using a physical model to generate radiance spectra as observed under a wide range of atmospheric, illumination., and viewing conditions. The advantage of this approach is that the resulting target detection is invariant to those changing conditions. For the purpose of target detection, we use a structured model to describe each image spectra as a linear combination of the target and background basis-vectors, and then we apply a matched subspace detector. Finally, we find ROC curves to describe the relationship between the detection rate (DR) and the false alarm rate (FAR). Due to a large number of cases considered, we use summary metrics to represent our results. The obtained results are quite different from those obtained in (Bajorski et al., 2004) for the AVIRIS image. The best method for generating the background basis vectors in the AVIRIS image was the MaxD method, while the SVD method proved to be best for the HYDICE image used in this paper. Further research is needed to find out the reasons for these differences. It is not surprising that different methods are optimal for different types of data. However, it would be useful to be able to recognize the optimal method without assuming knowledge of the targets in the image

15 citations

Patent
26 Apr 2017
TL;DR: In this article, a display substrate is divided into a plurality of pixel units, and each pixel unit comprises a first subpixel, a second subpixel and a third subpixel.
Abstract: An embodiment of the invention provides a display substrate, a liquid crystal display panel and a liquid crystal display device, relates to the technical field of display, and solves the problem that the liquid crystal display device is low in light-emitting efficiency. The display substrate is divided into a plurality of pixel units, and each pixel unit comprises a first subpixel, a second subpixel and a third subpixel. The display substrate comprises a substrate body, a pattern layer and a first polarizer, wherein the pattern layer and the first polarizer are sequentially arranged along a direction away from the substrate body; the pattern layer comprises a first pattern located in each first subpixel and second pattern located in each second subpixel, the first pattern is used for emitting first primary-color light under the simulation of backlight, and the second pattern is used for emitting second primary-color light under the stimulation of the backlight; each third subpixel is used for emitting third primary-color light under the stimulation of the backlight or each third subpixel is used for allowing the backlight which is the third primary-color light to penetrate; the first polarizer is a metal wire grating polarizer. The display substrate is used for increasing the light-emitting efficiency of the liquid crystal display device.

15 citations

Proceedings ArticleDOI
J. A. Cox1
07 Dec 1981
TL;DR: Overall, it is found that the simple centroid algorithm provides the optimum performance, giving %1/10 pixel accuracy for S/N=10 and no deadspace, and performance improves for the centroid algorithms and degrades for the least squares fit algorithm as the blur spot size increases.
Abstract: The ability to achieve subpixel peak location accuracy for point source taraets in the cross-scan direction for scanning sensors and in both directions for staring sensors is examined systematically by means of Monte Carlo experiments. The performance of three peak location algorithms (simple centroid, extended centroid, polynomial least squares fit) is tested for sensitivity to system signal-to-noise ratio, detector deadspace, and blur spot size relative to detector size. A symmetrical, gaussian intensity profile of the blur spot is used in all cases. Computational efficiency, in terms of the number of multiplies and adds required, was considered in selecting the algorithms to be compared. Overall, we found that the simple centroid algorithm provides the optimum performance, giving %1/10 pixel accuracy for S/N=10 and no deadspace. In addition, performance improves for the centroid algorithms and degrades for the least squares fit algorithm as the blur spot size increases. Increasing deadspace markedly degrades the performance of the centroid algo-rithms.

15 citations

Patent
30 Nov 2016
TL;DR: In this paper, a calibration module calculates which propagation directions map to which subpixels, which can be used to improve processing of plenoptic images captured by the plnoptic imaging system.
Abstract: A collimated object is adjustable to produce collimated light propagating along different propagation directions. The plenoptic imaging system under calibration captures plenoptic images of the object adjusted to different propagation directions. The captured plenoptic images includes superpixels, each of which includes subpixels. Each subpixel captures light from a corresponding light field viewing direction. Based on the captured plenoptic images, a calibration module calculates which propagation directions map to which subpixels. The mapping defines the light field viewing directions for the subpixels. This can be used to improve processing of plenoptic images captured by the plenoptic imaging system.

15 citations

Journal ArticleDOI
Tang Qijian1, Chang Liu1, Zewei Cai1, Zhao Huihe1, Xiaoli Liu1, Xiang Peng1 
TL;DR: Analysis conducted of the reconstruction accuracy associated with correlation region size and the number of patterns to be projected based on the model indicate that using a few speckle patterns with an appropriate correlation size produces highly accurate results.

15 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202387
2022209
2021120
2020179
2019189
2018263