Image restoration from camera vibration and object motion blur in infrared staggered time-delay and integration systems

2003 ◽  
Vol 42 (11) ◽  
pp. 3253 ◽  
Author(s):  
Sergey Raiter
2021 ◽  
Vol 11 (2) ◽  
pp. 843-849
Author(s):  
A. Gnanasekar ◽  
S. Selvi ◽  
A.S.U. Soundharyaa ◽  
A. Malini ◽  
K.R. Ramya

Image restoration is the method of restoring an image to its original state by removing noise and blur. Image disclarity is crucial to maintain in a variety of cases, including photography, where motion blur is caused by camera shake when taking images, radar imaging, where the impact of image system reaction is removed, and so on. Image noise is an unwanted signal that appears in an image from a sensor, such as a power / energy signal, or from the atmosphere, such as rain or snow. Coding artefacts, resolution limitations, transmission noise, object motion, camera shake, or a confluence of events could cause image degradation. With the intention of separating HF and LF objects, image decomposition is used to decompose the distorted image into a pattern layer (High Frequency Component) and a framework layer (Low Frequency Component).


Author(s):  
Stephen J. Olivas ◽  
Michal Šorel ◽  
Nima Nikzad ◽  
Joseph E. Ford

2012 ◽  
Vol 32 (4) ◽  
pp. 0411001
Author(s):  
陶淑苹 Tao Shuping ◽  
金光 Jin Guang ◽  
曲宏松 Qu Hongsong ◽  
贺小军 He Xiaojun ◽  
杨秀彬 Yang Xiubin

1997 ◽  
Vol 22 (17) ◽  
pp. 1281 ◽  
Author(s):  
M. R. Sajan ◽  
C. J. Tay ◽  
H. M. Shang ◽  
A. Asundi

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