Topic
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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01 Oct 2018TL;DR: The results showed that the standard block-matching approach provided reliable 2-D velocity vector fields, in terms of magnitude and angle, and complex flow patterns, like those occurring in the carotid bifurcation, were also estimated accurately.
Abstract: In this IUS proceeding, we describe a classical block-matching approach that we used during the 2018 SA-VFI (Synthetic Aperture 2-D Vector Flow imaging) challenge. To estimate frame-to-frame displacements, we used blockwise FFT-based ensemble cross-correlations. Subpixel displacements were obtained by parabolic peak fitting. We opted for a coarse-to-fine multiscale scheme to increase the resolution and precision. Robustness and accuracy were improved by including a robust unsupervised smoother in the estimation process. 2-D velocity vector fields were computed in several flow phantoms (from both simulations and experiments) provided by the organizers of the SAV-FI challenge. Our results showed that the standard block-matching approach provided reliable 2-D velocity vector fields, in terms of magnitude and angle. Complex flow patterns, like those occurring in the carotid bifurcation, were also estimated accurately. In summary, the long-standing block-matching technique by normalized cross-correlation is effective for flow estimation by ultrasound imaging. The final estimates returned by the method will be uploaded on the SA-VFI platform, and the results will be compared with those obtained by all the competitors during the challenge session at IEEE IUS 2018 in Kobe (Japan).
19 citations
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30 Jun 2015TL;DR: In this article, an organic light emitting display consisting of a display panel including subpixels, a data driver that supplies a data signal to the display panel, a scan driver, and a sensing circuit unit that measures the threshold voltages of driving transistors through sensor transistors of the display panels and prepares compensation data.
Abstract: In one aspect, there is an organic light emitting display comprising: a display panel including subpixels; a data driver that supplies a data signal to the display panel; a scan driver that supplies a scan signal to the display panel; and a sensing circuit unit that measures the threshold voltages of driving transistors through sensor transistors of the display panel and prepares compensation data, wherein the scan driver turns on the sensor transistor of a selected subpixel to measure the threshold voltage of the driving transistor of the selected subpixel during a vertical blank interval of the display panel, and turns on the sensor transistors of non-selected subpixels to supply voltages below the threshold voltage of organic light emitting diodes to the non-selected subpixels during an image display interval of the display panel.
19 citations
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TL;DR: Experimental results in subpixel target detection scenarios show that the proposed detector represents not only the natural evolution of but also a successful alternative to both very widely employed and very recently proposed GLRT-based detectors.
Abstract: The generalized likelihood ratio test (GLRT) is here combined with the nonparametric approach to derive a new adaptive detector for subpixel targets in hyperspectral images. Specifically, a variable bandwidth kernel density estimator (KDE) is employed for estimating the conditional probability density functions composing the GLRT. Although KDE has generally a low mathematical tractability, an approximated closed-form solution is here derived, thanks to an innovative and uncommon choice for the kernel function. Experimental results in subpixel target detection scenarios show that the proposed detector represents not only the natural evolution of but also a successful alternative to both very widely employed and very recently proposed GLRT-based detectors.
19 citations
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TL;DR: The final result is that maximum achievable resolution enhancement is connected with the dynamic range of the image, i.e., the detection limit is 1/2∧(nr.bits) and may aid in proper design of superresolution experiments in microscopy, surveillance, defense, and other fields.
Abstract: Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides optimal performance at relatively low cost. Although there are many theoretical proposals that lead to resolution increments of several orders of magnitude, in practice this resolution is limited by the imaging systems. In this paper we propose and demonstrate through simple numerical models a realistic limit for subpixel accuracy. The final result is that maximum achievable resolution enhancement is connected with the dynamic range of the image, i.e., the detection limit is 1/2∧(nr.bits). The results here presented may aid in proper design of superresolution experiments in microscopy, surveillance, defense, and other fields.
19 citations
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29 Dec 2017
TL;DR: In this paper, a display device image was divided into a plurality of main pixel blocks and a number of subpixel blocks, and a gamma module was used to adjust the white point coordinates of the image.
Abstract: The present application relates to a display device image processing method, an image processing structure and a display device The method comprises: divide a display device image into a plurality of main pixel blocks and a plurality of subpixel blocks; adjusting white point coordinates of the display device image y means of a gamma module; obtain a high-voltage gray value lookup table and a low-voltage gray value lookup table respectively by means of a high-voltage gamma module and a low-voltage gamma module; select to output the high-voltage gray value lookup table or the low-voltage gray value lookup table by means of a first selection module according to the arrangement of the main pixel blocks and the subpixel blocks; calculate color saturation of the display device image by means of a color saturation calculation module; a second selection module adjusts a visual angle chromatic value in the display device according to the white point coordinates, the high-voltage gray value lookup table or the low-voltage gray value lookup table, and the color saturation
18 citations