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搜索结果: 1-11 共查到Image Restoration相关记录11条 . 查询时间(0.08 秒)
Image restoration and image enhancement are key computer vision tasks, aiming at the restoration of degraded image content or the filling in of missing information. Recent years have witnessed an incr...
The image restoration of Calibration and Validation (Cal/Val) for the KOMPSAT-2 (KOrea Multi-Purpose SATellite-2) has six parameters; Linearity, Video processor gain/offset, Non-uniformity correction,...
Within the paper a comparative quantification of the spatial image resolution for large-format digital airborne cameras will be presented. For this purpose, imagery of the Leica ADS40, the Intergraph ...
Image priors based on products have been recognized to offer many advantages because they allow simultaneous enforcement of multiple constraints. However, they are inconvenient for Bayesian inferenc...
Airborne remote sensing is used for gathering detailed information on the environment. However, there are many distortions associated with images taken by airborne optical sensors which must be corre...
This paper investigates a fully unsupervised statistical method for edge preserving image restoration and compression using a spatial decomposition scheme. Smoothed maximum likelihood is used for loca...
We study a functional with variable exponent, 1 Keywords: variational exponent functional;BV space;staircasing effect;heat
The famous Perona-Malik (P-M) equation which was at first introduced for image restoration has been solved via various numerical methods. In this paper we will solve it for the first time via applying...
中南大学医学图像处理英文课件 chapter 5 image restoration
In this paper, we propose a novel learning-based image restoration scheme for compressed images by suppressing compression artifacts and recovering high frequency components with the priors learned fr...
In this paper, we propose a novel learning-based image restoration scheme for compressed images by suppressing compression artifacts and recovering high frequency components with the priors learned fr...

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