搜索结果: 1-6 共查到“工学 Image restoration”相关记录6条 . 查询时间(0.097 秒)
第二届图像恢复和增强新趋势研讨会（2nd NTIRE: New Trends in Image Restoration and Enhancement workshop and challenge on super-resolution）
第二届 图像恢复和增强新趋势 研讨会
2017/6/22
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...
Image Restoration of Calibration and Validation for KOMPSAT-2
Calibration Passive Optical system Image restoration MTF Radiometry Camera Sensor KOMPSAT-2
2015/11/20
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,...
IMAGE RESTORATION FOR RESOLUTION IMPROVEMENT OF DIGITAL AERIAL IMAGES
geometry calibration high resolution spatial performance
2015/8/31
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 ...
A STUDY ON IMAGE RESTORATION FOR AIRBORNE CAMERAS
Image Correction Airborne Camera Optical Distortion Motion Distortion
2015/2/3
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...
Learning-based Image Restoration for Compressed Image through Neighboring Embedding,
Image Restoration Compressed Image
2010/12/17
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...
Learning-based Image Restoration for Compressed Image through Neighboring Embedding
Image restoration Compression artifacts Primitive Neighboring Embedding
2013/7/17
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...