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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TL;DR: In this article, a disaggregation method for subpixel temperature using the remote sensing endmember index based technique (DisEMI) was established in order to lower the estimation error caused by re-sampling of remote sensing data, and the verified results indicate that the estimated temperature distribution was basically consistent with that of ASTER LST product.
78 citations
Patent•
30 Sep 1998
TL;DR: In this article, a method and system for simulating motion of a polygon on a display screen is presented, where the position of the polygon is defined by vertices tracked in a subpixel coordinate system existing in a computer readable medium.
Abstract: A method and system for simulating motion of a polygon on a display screen. The polygon may be included in a set of polygons used to model a three-dimensional object. The position of the polygon is defined by vertices tracked in a subpixel coordinate system existing in a computer-readable medium. The subpixel coordinates of the vertices are used to identify the pixels on the display screen having coordinates that correspond to subpixel coordinates lying within or, optionally, at the boundary of the polygon. The identified pixels are those that are to be lighted on the display screen to generate the image of the polygon. The display properties of the lighted pixels are selected by interpolation based on defined pixel display parameters assigned to the vertices of the triangle. As motion of the polygon is tracked in the subpixel coordinate system, the corresponding display on the display screen is repeatedly adjusted. The method of identifying and interpolating the display parameters of the pixels using the subpixel coordinate system provides the appearance of smooth polygon motion.
78 citations
Patent•
01 Jul 1982TL;DR: The Digital Image Generator (DIG) as discussed by the authors employs a geometric processor that processes a plurality of prioritized faces which comprise an image to be displayed, and the faces are processed according to whether a skip over logic device determines that the pixels are visible and not occulted.
Abstract: A digital image generator (DIG) that realizes a modular architecture. The DIG employes a geometric processor that processes a plurality of prioritized faces which comprise an image to be displayed. The faces, in turn, comprise a plurality of picture elements (pixels) which are processed according to whether a skip over logic device determines that the pixels are visible and not occulted. Pixels that are in fact visible are processed, in part, by a Bed of Nails (BON) device-spatial filter device combination. This combination provides quantization of a visible pixel at a subpixel resolution level. Pixels that have been so processed are stored in a frame buffer memory for input to a display.
78 citations
06 May 2001
TL;DR: Current research is focused on simultaneous blur identification and robust superresolution, and a formulation involving a periodically shift-variant system model is proposed.
Abstract: Subsequent to the work of Kim, Bose, and Valenzuela in 1990 on the simultaneous filtering and interpolation of a registered sequence of undersampled noisy and shift-invariant blur degraded images, Bose and Boo tackled in 1998 the problem of reconstructing a high-resolution image from multiple undersampled, shifted, degraded frames with subpixel displacement errors. This led to a formulation involving a periodically shift-variant system model. Lertrattanapanich and Bose advanced in 1999 a procedure for construction of a high-resolution video mosaic following the estimation of motion parameters between successive frames in a video sequence generated from a video camera. Current research is focused on simultaneous blur identification and robust superresolution. The blur is not restricted to be linear shift-invariant and could not only be of the linear shift-variant type but also some nonlinear blurs could be accommodated. The optimal tuning parameter may, if desired, be calculated analytically and not by trial-and-error.
78 citations
TL;DR: A regularized constrained total least‐squares (RCTLS) solution to the problem is given, which requires the minimization of a nonconvex and nonlinear cost functional and simulations indicate that the choice of the regularization parameter influences significantly the quality of the solution.
Abstract: Multiple undersampled images of a scene are often obtained by using a charge-coupled device (CCD) detector array of sensors that are shifted relative to each other by subpixel displacements. This geometry of sensors, where each sensor has a subarray of sensing elements of suitable size, has been popular in the task of attaining spatial resolution enhancement from the acquired low-resolution degraded images that comprise the set of observations. With the objective of improving the performance of the signal processing algorithms in the presence of the ubiquitous perturbation errors of displacements around the ideal subpixel locations (because of imperfections in fabrication), in addition to noisy observation, the errors-in-variables or the total least-squares method is used in this paper. A regularized constrained total least-squares (RCTLS) solution to the problem is given, which requires the minimization of a nonconvex and nonlinear cost functional. Simulations indicate that the choice of the regularization parameter influences significantly the quality of the solution. The L-curve method is used to select the theoretically optimum value of the regularization parameter instead of the unsound but expedient trial-and-error approach. The expected superiority of this RCTLS approach over the conventional least-squares theory-based algorithm is substantiated by example. © 2002 John Wiley & Sons, Inc. Int J Imaging Syst Technol 12, 35–42, 2002
77 citations