Subpixel rendering

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

Three-dimensional image display device and driving method thereof

Abstract: A 3D image display device includes: a backlight unit including a first color light source and a second color light source, which are alternately turned on; a display panel on a front side of the backlight unit and including a pixel, where the pixel includes a first subpixel including a first color filter and a second subpixel including a second color filter; a patterned circular polarizer on a front side of the display panel, extending substantially in a first direction, and including a first circular polarization part and a second circular polarization part having widths substantially the same as widths of the first subpixel and the second subpixel, respectively; and glasses including a left lens and a right lens, where each of the left lens and the right lens includes a plurality of circular polarization patterns and a shutter glass panel which turns on and off each circular polarization pattern.

Fast pattern recognition using normalized grey-scale correlation in a pyramid image representation

Abstract: The ability to quickly locate one or more instances of a model in a grey scale image is of importance to industry. The recognition/localization must be fast and accurate. In this paper we present an algorithm which incorporates normalized correlation into a pyramid image representation structure to perform fast recognition and localization. The algorithm employs an estimate of the gradient of the correlation surface to perform a steepest descent search. Test results are given detailing search time by target size, effect of rotation and scale changes on performance, and accuracy of the subpixel localization algorithm used in the algorithm. Finally, results are given for searches on real images with perspective distortion and the addition of Gaussian noise.

Three-axis OIS for super-resolution imaging

Abstract: Systems and methods are provided for super-resolution imaging using 3-axis OIS. A super-resolution image may be created by enabling optical image stabilization (OIS) in three axes using an OIS system on a camera of an image capturing device; capturing an image of a scene using an image sensor of the camera; shifting the image on the image sensor by a predetermined subpixel amount; capturing the subpixel shifted image; and constructing a super-resolution image of the scene using the image and the subpixel shifted image. In one particular implementation, a position sensor may measure a positional drift of the image sensor after capturing the image. Using this measured positional drift, a time sufficient to shift the image sensor by a predetermined subpixel amount may be determined. The OIS may subsequently be disabled in one or two axes for the determined time.

Digital superresolution and the generalized sampling theorem.

Abstract: The technique of reconstructing a higher-resolution (HR) image of size ML×ML by digitally processing L×L subpixel-shifted lower-resolution (LR) copies of it, each of size M×M, has now become well established. This particular digital superresolution problem is analyzed from the standpoint of the generalized sampling theorem. It is shown both theoretically and by computer simulation that the choice of regularly spaced subpixel shifts for the LR images tends to maximize the robustness and minimize the error of reconstruction of the HR image. In practice, since subpixel-level control of LR image shifts may be nearly impossible to achieve, however, a more likely scenario, which is also discussed, is one involving random subpixel shifts. It is shown that without reasonably tight bounds on the range of random shifts, the reconstruction is likely to fail in the presence of even small amounts of noise unless either reliable prior information or additional data are available.