With the increased demand of the military reconnaissance, land resources exploration and other military and civilian applications, how to obtain high resolution remote sensing images with little cost has recently become a research focus in the field of space remote sensing. On the point view of the practical project application, this paper which associated super-resolution
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Because of its high efficiency backscatter inhibition,high range accuracy and the capability to obtain the 3D distant images,range gated ladar becomes more and more popular nowadays.The supper-resolution range gated ladar is based on the original ladar system,but there are some difference which make the imaging frame rate and range accuracy greatly improved.This paper mainly studied
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For an imaging system, the captured digital image will be degraded inevitably for various factors. Due to the pressure of costs as well as technical considerations, most times, it is impossible to increase the resolution of the image by upgrading the image sensor. In applications demanding high resolution images or videos, developing post signal processing
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Super-Resolution(SR) reconstruction is a method recovering a high- resolution(HR) imagefrom one or more low-resolution(LR) images. Compared with the method to method HR image bythe hardware devices, the cost of SR reconstruction method is cheaper. In recent years SR is widelyused in video monitoring, medical image analysis, high-definition video and others. So, it is of greatsignificance
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Nowadays, surveillance systems are widely used in cities to monitor traffic situations and record accidents. In these applications, research about vehicle license plate is always of great interests to people for it can uniquely identify a car. However, due to both the far distance between camera and cars and blurry resulted from motion, the obtained
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With multimedia device widely used in our life, image super-resolution technology becomes one of the most significant technologies in image processing to greatly improve image quality. There are two kinds of technologies to get higher image resolution, taking efforts to recover more information from the observed scene. First of all, it is the technology using
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The main objective of super-resolution (SR) imaging is to reconstruct a higher-resolution image based on an image or a set of images, acquired from the same scene(similar information but different details) and denoted as‘low-resolution’images. It overcomes the limitation ill-posed conditions of the image acquisition process, can get a better image content and improves a scene
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Based on the subwavelength focusing effect of light by a tapered micro-nano tube, we did further research and application experiments.First, we analyzed the theory of subwavelength focusing by direct synthesis of the angular spectrum of plane waves and how the taper of micro-nano tube affected its subwavelength focusing effect, to explore the theory of subwavelength
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Video compression (or video coding) is an essential technology for applications such as digital television, DVD-Video, mobile TV, video conference and Internet video streaming. Noticeably, increasing low-quality visual data from mobile phones, digital cameras and mobile TV, stimulate a huge demand for video analysis and computer vi-sion techniques, which can be applied to any prevalent
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The further research of the Compressed Sensing(CS) theory draws many researchers attention in signal and image processing area. Natural images are proven has the feature of Sparse Representation, which accord with much signal and image processing work people usually contact. As the improving of Sparse Representation algorithms, especially after put forward of learning dictionary theory,
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