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: This work reports an application of the correct approximation of inverse permittivity tensor epsilon(-1) at the material interface for conductive and dispersive media for Mie scattering from a small sphere.
Abstract: Staircasing of media properties is one of the intrinsic problems of the finite-difference time-domain method, which reduces its accuracy There are different approaches for solving this problem, and the most successful of them are based on correct approximation of inverse permittivity tensor epsilon(-1) at the material interface We report an application of this tensor method for conductive and dispersive media For validation, comparisons with analytical solutions and various other subpixel smoothing methods are performed for the Mie scattering from a small sphere
59 citations
TL;DR: This method shows for the first time how to combine morphological antialiasing (MLAA) with additional multi/supersampling strategies (MSAA, SSAA) for accurate subpixel features, and how to couple it with temporal reprojection; always preserving the sharpness of the image.
Abstract: We present a new image-based, post-processing antialiasing technique, which offers practical solutions to the common, open problems of existing filter-based real-time antialiasing algorithms. Some of the new features include local contrast analysis for more reliable edge detection, and a simple and effective way to handle sharp geometric features and diagonal lines. This, along with our accelerated and accurate pattern classification allows for a better reconstruction of silhouettes. Our method shows for the first time how to combine morphological antialiasing (MLAA) with additional multi/supersampling strategies (MSAA, SSAA) for accurate subpixel features, and how to couple it with temporal reprojection; always preserving the sharpness of the image. All these solutions combine synergies making for a very robust technique, yielding results of better overall quality than previous approaches while more closely converging to MSAA/SSAA references but maintaining extremely fast execution times. Additionally, we propose different presets to better fit the available resources or particular needs of each scenario. © 2012 Wiley Periodicals, Inc.
59 citations
TL;DR: In this paper, a near-infrared spot projection system has been developed, and the effect of subpixel non-uniformity was studied, showing that for detectors with near 100% internal quantum efficiency, 1% photometry can be achieved with a point-spread function (PSF) size of about half a pixel.
Abstract: Wide‐field survey instruments are used to efficiently observe extended regions of the sky. To achieve a large field of view and to provide a high signal‐to‐noise ratio for faint sources, many modern instruments are undersampled. However, in undersampled detectors, sensitivity variations across individual pixels can severely impact science programs that require high photometric precision. To address this, a near‐infrared spot projection system has been developed. With this system, 1.7 μm cutoff detectors were characterized, and the effect of subpixel nonuniformity was studied. The measurements demonstrate that for detectors with near 100% internal quantum efficiency, 1% photometry can be achieved with a point‐spread function (PSF) size of about half a pixel. For detectors with large subpixel nonuniformity, photometric errors become negligible only if the PSF size is more than about two pixels.
58 citations
06 Sep 2014
TL;DR: Quantitative comparisons to OpenCV’s checkerboard detector show that the proposed method detects up to 80% more checkerboards and detects corner points more accurately, even under strong perspective distortion as often present in wide baseline stereo setups.
Abstract: We present a new checkerboard detection algorithm which is able to detect checkerboards at extreme poses, or checkerboards which are highly distorted due to lens distortion even on low-resolution images. On the detected pattern we apply a surface fitting based subpixel refinement specifically tailored for checkerboard X-junctions. Finally, we investigate how the accuracy of a checkerboard detector affects the overall calibration result in multi-camera setups. The proposed method is evaluated on real images captured with different camera models to show its wide applicability. Quantitative comparisons to OpenCV’s checkerboard detector show that the proposed method detects up to 80% more checkerboards and detects corner points more accurately, even under strong perspective distortion as often present in wide baseline stereo setups.
58 citations
16 Jun 2003
TL;DR: A simple method to almost quadruple the spatial resolution of aliased images is presented, from a set of four low resolution, undersampled and shifted images, a new image is constructed with almost twice the resolution in each dimension.
Abstract: In this paper, we present a simple method to almost quadruple the spatial resolution of aliased images. From a set of four low resolution, undersampled and shifted images, a new image is constructed with almost twice the resolution in each dimension. The resulting image is aliasing-free. A small aliasing-free part of the frequency domain of the images is used to compute the exact subpixel shifts. When the relative image positions are known, a higher resolution image can be constructed using the Papoulis-Gerchberg algorithm. The proposed method is tested in a simulation where all simulation parameters are well controlled, and where the resulting image can be compared with its original. The algorithm is also applied to real, noisy images from a digital camera. Both experiments show very good results.
58 citations