Spatial noise suppression for LCD displays: noise contrast

2010 ◽  
Author(s):  
William J. Dallas ◽  
Hans Roehrig ◽  
Jiahua Fan ◽  
Elizabeth A. Krupinski ◽  
Jeffrey P. Johnson
Keyword(s):  
Noise Suppression ◽  
Spatial Noise ◽  
Lcd Displays

Spatial noise suppression for LCD displays

2009 ◽  
Author(s):  
William J. Dallas ◽  
Hans Roehrig ◽  
Jiahua Fan ◽  
Elizabeth A. Krupinski ◽  
Jeffrey P. Johnson
Keyword(s):  
Noise Suppression ◽  
Spatial Noise ◽  
Lcd Displays

Spatial noise suppression for LCD displays

2009 ◽  
Author(s):  
William J. Dallas ◽  
Hans Roehrig ◽  
Jiahua Fan ◽  
Elizabeth A. Krupinski ◽  
Jeffrey Johnson
Keyword(s):  
Noise Suppression ◽  
Spatial Noise ◽  
Lcd Displays

The effect of spatial noise of LCD displays on the detection capabilities of the human observer

2005 ◽  
Author(s):  
Kunal A. Gandhi ◽  
Jiahua Fan ◽  
Hans Roehrig ◽  
Malur K. Sundareshan ◽  
Elizabeth A. Krupinski
Keyword(s):  
Human Observer ◽  
Spatial Noise ◽  
Detection Capabilities ◽  
Lcd Displays

scholarly journals Solution for Nonuniformities and Spatial Noise in Medical LCD Displays by Using Pixel-Based Correction

2005 ◽  
Vol 18 (3) ◽  
pp. 209-218 ◽  
Author(s):  
Tom Kimpe ◽  
Albert Xthona ◽  
Paul Matthijs ◽  
Lode De Paepe
Keyword(s):  
Spatial Noise ◽  
Lcd Displays

Spatial noise and threshold contrasts in LCD displays

2003 ◽  
Author(s):  
Hans Roehrig ◽  
Elizabeth A. Krupinski ◽  
Amarpreet S. Chawla ◽  
Jiahua Fan ◽  
Kunal Gandhi
Keyword(s):  
Spatial Noise ◽  
Lcd Displays

Endogenous Noise Suppression During Covert Orienting

2000 ◽  
Author(s):  
Edward Awh ◽  
John Serences ◽  
Kelsey Libner ◽  
Michi Matsukura
Keyword(s):  
Noise Suppression ◽  
Covert Orienting

An Absolute Phase Estimation Method for Interferometry Imagery

2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim
Keyword(s):  
Noise Suppression ◽  
Estimation Method ◽  
Phase Image ◽  
Phase Estimation ◽  
Phase Reconstruction ◽  
Estimation Algorithms ◽  
Absolute Phase ◽  
Filtering Rate ◽  
Interferometric Phase ◽  
Image Performance

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.

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