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Most of the currently used image up-scaling algorithms are based on interpolation method. As the structural information is ignored, the result image will be blurred while sharp edges are interpolated smoothly. In our paper, we proposed a fast and local structure based algorithm, combined with improvement on up-sampling techniques, to enhance up-scaling image quality. The up-scaling process are guided...
In many application fields, an appropriate high-quality fast image up sampling method is required. Although many interpolation-based up sampling methods have been proposed, the quality of result images is not satisfactory. Some of them are very fast, but produce poor quality images, the others can produce high quality images, but the methods in them are slow. In our paper, we proposed a fast statistical...
In this paper, we propose a novel approach for image completion with automatic structure propagation. This method integrates two stages: Firstly, it extends the salient structure lines from the known regions to the unknown by following a local self-similarity assumption on natural images. Then guided by the structure information, it restores the missing region by patch-based texture synthesis. Experiment...
In the traditional multi-resolution texture mapping method for large-scale terrain rendering, the resolution of the terrain texture is only decided by the distance to the viewpoint. In some sharp region texture is stretched a lot and brings the mapping distortion problems, which affect the visual effect of virtual scene. In order to solve this problem, many methods were proposed. The most universal...
There are two key problems in efficient large scale texture mapping for terrain rendering-efficient data organization and real time data updating in memory. In order to solve these problems, in this paper we propose a quadtree based indexing method to organize multi-resolution images and to fast retrieve data from disk; For memory updating, we present a real time dual-cache structure based updating...
Typical passive millimeter wave (PMMW) sensors with focal plane array (FPA) are placed on a rectangular grid to sample the image plane. Since the sensors must be made large enough to sense PMMW wavelengths, the sensor density that can be achieved is limited. In fact, the sensors may not be spaced closely enough to sample the image at Nyquist density. A novel design scheme based on focal plane array...
In this paper, we present a modified projected Landweber super-resolution algorithm for resolution enhancement of passive millimeter wave images. In this algorithm, we implement the Landweber iterations as the main image restoration scheme, and a projection-based adjustment for enforcing constraints after each Landweber iteration is completed to complete spectral extrapolation, lastly we implement...
Passive millimeter wave (PMMW) images have inherently the problem of poor resolution due to limited aperture dimension. Thus efficient post-processing is necessary to achieve resolution improvement. In this paper we present a wavelet-based algorithm for resolution enhancement of passive millimeter wave images. In the algorithm, we implement the wavelet-based Landweber iterations as the main image...
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