Results 21 to 30 of about 107,993 (282)
IMAGE MOTION COMPENSATION – THE VEXCEL APPROACH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Motion compensation in general and forward motion compensation in particular was an important milestone in aerial imaging when presented for film-based camera systems in the late 90ts of the last century.
S. Dohr +3 more
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Overview of Blind Deblurring Methods for Single Image [PDF]
Jisuanji kexue yu tansuo, 2022 Image deblurring has been a research hotspot in computer vision and image processing for a long time. The motion blur or focus blur image caused by camera jitter, object motion or defocus will seriously affect the use and follow-up processing of the ...
LIU Liping, SUN Jian, GAO Shiyan
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DETECTING AND CORRECTING MOTION BLUR FROM IMAGES SHOT WITH CHANNEL-DEPENDENT EXPOSURE TIME [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 This article describes a pipeline developed to automatically detect and correct motion blur due to the airplane motion in aerial images provided by a digital camera system with channel-dependent exposure times.
L. Lelégard +3 more
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, 2023 ABSTRACTImaging and characterizing the dynamics of cellular adhesion in blood samples is of fundamental importance in understanding biological function.In vitromicroscopy methods are widely used for this task, but typically require diluting the blood with a buffer to allow for transmission of light.
Utku Goreke +9 more
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Exposure Trajectory Recovery From Motion Blur [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Motion blur in dynamic scenes is an important yet challenging research topic. Recently, deep learning methods have achieved impressive performance for dynamic scene deblurring. However, the motion information contained in a blurry image has yet to be fully explored and accurately formulated because: (i) the ground truth of dynamic motion is difficult ...
Youjian Zhang +3 more
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AUTOMATED BLUR DETECTION AND REMOVAL IN AIRBORNE IMAGING SYSTEMS USING IMU DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Images acquired by airborne sensors exhibit blur due to turbulent motion experienced by the aircraft. Significant amount of blur renders the images unusable for subsequent visual/automated analysis, requiring a re-flight.
C. A. Shah, W. Schickler
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IEEE Access, 2021 Motion blur is a common problem in optical imaging, which is caused by the relative displacement between the subject and the camera in the exposure process of the camera.
Zhenfeng Zhang
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Multi-Frame Blind Super-Resolution Based on Joint Motion Estimation and Blur Kernel Estimation
Applied Sciences, 2022 Multi-frame super-resolution makes up for the deficiency of sensor hardware and significantly improves image resolution by using the information of inter-frame and intra-frame images.
Shanshan Liu +2 more
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A state-of-the-art review of image motion deblurring techniques in precision agriculture
Heliyon, 2023 Image motion deblurring is a crucial technology in computer vision that has gained significant attention attracted by its outstanding ability for accurate acquisition of motion image information, processing and intelligent decision making, etc.
Yu Huihui, Li Daoliang, Chen Yingyi
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Estimation and Sharpening of Blur in Degraded Images Captured by a Camera on a Moving Object
Sensors, 2022 In this research, we aim to propose an image sharpening method to make it easy to identify concrete cracks from blurred images captured by a moving camera.
Toshiyuki Hayashi, Takashi Tsubouchi
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