A virtual pixel technique for doubling the PDP resolution of moving images
0
Citation
4
Reference
10
Related Paper
Abstract:
Abstract— A virtual pixel technique increases the resolution of spatially discrete pixilated display devices when the eye moves relative to the screen. By using this technique, an effective PDP resolution can be doubled for moving images. For instance, 1280‐horizontal‐pixel data can be displayed on a VGA PDP having only 640 horizontal pixels. The positions and sizes of the virtual pixels are controlled by choosing light‐emission timings and durations of the actual pixels as their images move across the retina.Keywords:
Video Graphics Array
Sub-pixel resolution
Display resolution
Hyperspectral image super resolution (SR) reconstruction has been studied widely and many algorithms have been proposed. In this paper, a novel super resolution reconstruction method was designed by employing a joint spectral-spatial sub-pixel mapping model which aims to obtain the probabilities of sub-pixels to belong to different land cover classes by dividing mixed pixels into several sub-pixels. Given these sub-pixel probabilities, the resolution enhanced image can be further generated. The proposed approach has been evaluated using both synthetic and real hyperspectral images and compared with other well-known methods. The visual and quantitative comparisons confirm the effectiveness of the proposed method.
Sub-pixel resolution
Full spectral imaging
Land Cover
Cite
Citations (11)
In this paper, we study the effect of limited amplitude resolution (pixel depth) in super-resolution problem. The problem we address differs from the standard super-resolution problem in that amplitude resolution is considered as important as spatial resolution. We study the trade-off between the pixel depth and spatial resolution of low resolution (LR) images in order to obtain the best visual quality in the reconstructed high resolution (HR) image. The proposed framework reveals great flexibility in terms of pixel depth and number of LR images in super-resolution problem, and demonstrates that it is possible to obtain target visual qualities with different measurement scenarios including images with different amplitude and spatial resolutions.
Sub-pixel resolution
Cite
Citations (1)
The consequences of changes in spatial resolution for application of thermal imagery in plant phenotyping in the field are discussed. Where image pixels are significantly smaller than the objects of interest (e.g., leaves), accurate estimates of leaf temperature are possible, but when pixels reach the same scale or larger than the objects of interest, the observed temperatures become significantly biased by the background temperature as a result of the presence of mixed pixels. Approaches to the estimation of the true leaf temperature that apply both at the whole-pixel level and at the sub-pixel level are reviewed and discussed.
Sub-pixel resolution
Cite
Citations (84)
Abstract— A virtual pixel technique increases the resolution of spatially discrete pixilated display devices when the eye moves relative to the screen. By using this technique, an effective PDP resolution can be doubled for moving images. For instance, 1280‐horizontal‐pixel data can be displayed on a VGA PDP having only 640 horizontal pixels. The positions and sizes of the virtual pixels are controlled by choosing light‐emission timings and durations of the actual pixels as their images move across the retina.
Video Graphics Array
Sub-pixel resolution
Display resolution
Cite
Citations (0)
Abstract Computer Tomography is a medical equipment that is used to identify the internal organs. In the process used when counter to scanning approximately 5000 ms in every good resolution of low-resolution, high in the middle and kolimator scanning using 5 mm, based on testing kolimator 1 mm, 3 mm produces a less clear image, it is because the energy received by a radioactive detector will be exhausted. Image szxe at low resolution 31 pixels x 31 pixels, high resolution of 63 pixels x 63 pixels and high resolution 127 pixels x 127 pixels. Results from high-resolution reconstruction has a more obvious when compared with low and medium resolution, due to more number of pixels and the time required in the longer counters. The results of scanning a result of projected sinogram and reconstructed image produced. Results of numerical and visual and the result is the same as the original test objects, at high resolution has the average e-max 0,196%.
Sub-pixel resolution
Cite
Citations (0)
One of the main limitations for the resolution of optical instruments is the size of the sensor's pixels. In this paper we introduce a new sub pixel resolution algorithm to enhance the resolution of images. This method is based on the analysis of multi-images which are fast recorded during the fine relative motion of image and pixel arrays of CCDs. It is shown that by applying this method for a sample noise free image one will enhance the resolution with order of error.
Sub-pixel resolution
Sample (material)
Cite
Citations (0)
This paper presents an approach to detect skin with taking 16 by 16 pixels as the unit for videos that use Local Pixel Wise Skin Detection algorithm, named LPSD. It reliably recognizes and marks skin for each 16 by 16 pixels in the video, based on Field-Programmable Gate Array(FPGA). A special memory and two special counters reduces storage resource utilization caused by the restore all pixels information in 16 by 16 area. The algorithm could mark the skin area pixel by pixel without restoring 16 by 16 pixels each time. For the VGA standard image, 640 by 480 pixels, this algorithm uses 167,744 memory bits totally.
Cite
Citations (3)
Limited by the spatial resolution of hyperspectral satellites, mixed pixels are widely existed in remote sensing data. It is a hot spot in the field of remote sensing on using the proportions of different land covers to improve the spatial resolution of hyperspectral images. Sub-pixel mapping (SPM) is an effective means to further explore the spatial distribution of different land covers in mixed pixels. The sub-pixel mapping method based on BP Neural Network is one of the effective methods. It used proportion data and classification of different sub-pixels in geometrical shapes as the training data to train the neural network. The trained model can be used to optimize the spatial resolution of real land image. However, the BP Neural Network model does not take spatial correlation into account. This paper proposed a sub-pixel mapping method based on BPNN and improved sub-pixel swapping model (BPNN_IPSM). The artificial image and real land image taken by Landsat8 were used to be tested. Experiments and comparisons showed that the BPNN_IPSM presented in this paper is an efficient approach in sub-pixel mapping.
Spatial correlation
Cite
Citations (0)
The color X-ray camera SLcam(R) is a full-field, single photon detector providing scanning free, energy and spatially resolved X-ray imaging. Spatial resolution is achieved with the use of polycapillary optics guiding X-ray photons from small regions on a sample to distinct energy dispersive pixels on a CCD. Applying sub-pixel resolution, signals from individual capillary channels can be distinguished. Accordingly the SLcam(R) spatial resolution can be released from pixel size being confined rather to a diameter of individual polycapillary channels. In this work a new approach to sub-pixel resolution algorithm comprising photon events also from the pixel centers is proposed. The details of the employed numerical method and several sub-pixel resolution examples are presented and discussed.
Sub-pixel resolution
Sample (material)
Cite
Citations (17)
Video Graphics Array
Display resolution
Interlacing
S-Video
Ranging
Cite
Citations (0)