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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.


Papers
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Journal ArticleDOI
TL;DR: A novel subpixel-pixel-superpixel guided fusion (SPSGF) method for hyperspectral anomaly detection that employs the spectral unmixing, morphological operation, and superpixel segmentation techniques to utilize the complemental information of three features and generates a fused detection result.
Abstract: Most of the existing hyperspectral anomaly detectors are designed based on a single pixel-level feature. These detectors may not adequately utilize spectral–spatial information in hyperspectral images (HSIs) for detecting anomalies. To overcome this problem, this article introduces a novel subpixel-pixel-superpixel guided fusion (SPSGF) method for hyperspectral anomaly detection. This approach comprises three main steps. First, subpixel-, pixel-, and superpixel-level features are extracted from an HSI by employing the spectral unmixing, morphological operation, and superpixel segmentation techniques, respectively. Then, based on the spatial consistency of three features, a guided filtering-based weight optimization technique is developed to construct weight maps for fusion. Finally, a simple yet effective decision fusion method is adopted to utilize the complemental information of three features, and then generates a fused detection result. The performance of the proposed approach is evaluated on three real-scene HSIs and one synthetic HSI. Experimental results validate the advantages of the SPSGF method.

25 citations

Journal ArticleDOI
TL;DR: The concept is that intensity measured at a pixel with a fixed Eulerian coordinate in a digital video can be regarded as a virtual visual sensor, turning a video camera into a simple, computationally inexpensive, and accurate displacement sensor with notably low signal‐to‐noise ratio.
Abstract: Summary Vibration measurements provide useful information about a structural system's dynamic characteristics and are used in many fields of science and engineering. Here, we present an alternative noncontact approach to measure dynamic displacements of structural systems using digital videos. The concept is that intensity measured at a pixel with a fixed (or Eulerian) coordinate in a digital video can be regarded as a virtual visual sensor. The pixels in the vicinity of the boundary of a vibrating structural element contain useful frequency information, which we have been able to demonstrate in earlier studies. Our ultimate goal, however, is to be able to compute dynamic displacements, i.e., actual displacement amplitudes in the time domain. In order to achieve that, we introduce the use of simple black-and-white targets that are mounted on locations of interest on the structure. By using these targets, intensity can be directly related to displacement, turning a video camera into a simple, computationally inexpensive, and accurate displacement sensor with notably low signal-to-noise ratio. We show that subpixel accuracy with levels comparable to computationally expensive block matching algorithms can be achieved using the proposed targets. Our methodology can be used for laboratory experiments, on real structures, and additionally, we see educational opportunities in K-12 classroom. In this paper, we introduce the concept and theory of the proposed methodology, present and discuss a laboratory experiment to evaluate the accuracy of the proposed black-and-white targets, and discuss the results from a field test of an in-service bridge.

25 citations

Patent
03 Jun 2005
TL;DR: In this paper, a system, apparatus, and method are disclosed for modifying positions of sample positions for selectably oversampling pixels to anti-alias non-geometric portions of computer-generated images, such as texture, at least in part, by shifting shading sample positions relative to a frame of reference.
Abstract: A system, apparatus, and method are disclosed for modifying positions of sample positions for selectably oversampling pixels to anti-alias non-geometric portions of computer-generated images, such as texture, at least in part, by shifting shading sample positions relative to a frame of reference. There is generally no relative motion between the geometries and the coverage sample positions. In one embodiment, an apparatus, such as a graphics pipeline and/or a general purpose graphics processing unit, anti-aliases geometries of a computer-generated object. The apparatus includes at least a texture unit and a pipeline front end unit to determine geometry coverage and a subpixel shifter to shift shading sample positions relative to the frame of reference. The apparatus can receive subpixel shifting masks to select subsets of shading sample positions. Each of the shading sample positions is shifted to a coverage sample position to reduce level of detail (“LOD”) artifacts.

25 citations

Journal ArticleDOI
TL;DR: A new subpixels template matching approach that combines the parametric template method and the ring projection transform process is proposed that not only achieves subpixel accuracy in location, but also offers rotation invariance in the subpixel template matching.
Abstract: The need for accurate and efficient computation of template matching prevails in many applications. However, a challenge in tem- plate matching is to obtain high accuracy that involves acceptable com- putation complexity and is robust to rotation. A new subpixel template matching approach that combines the parametric template method and the ring projection transform process is proposed. It not only achieves subpixel accuracy in location, but also offers rotation invariance in the subpixel template matching. Furthermore, our approach is conceptually simple, easy to implement, and very efficient because no iterative steps are involved. The simulated results show that our approach enjoys very high precision in the presence of image rotations. Experiments with real- world scenes demonstrate that the proposed method can reach subpixel accuracy for finding the distance between two target objects in the pres- ence of rotations and translations. This indicates that our approach is suitable for accurate on-line template matching with scene rotations and translations. © 2006 Society of Photo-Optical Instrumentation Engineers.

25 citations

Journal Article
TL;DR: The improved Ghosal algorithm is improved, which is based on analyzing an algorithm of subpixel edge detection presented by Ghosal and has the ability of the thinning edge and the accurately locating edge.
Abstract: Ghosal algorithm is improved, which is based on analyzing an algorithm of subpixel edge detection presented by Ghosal. It is pointed that Ghosal algorithm has two the shortcomings: not to consider the model effect and the first derivative model of the edge along the gradient direction of the edge. The improved method is presented aiming at the shortcomings. The subpixel coordinates of the edge calculated by the improved algorithm are more precise, and the improved algorithm has the ability of the thinning edge and the accurately locating edge.

25 citations


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