scholarly journals A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation

1999 ◽  
Vol 18 (4) ◽  
pp. 345-354 ◽  
Author(s):  
K. Vijayan Asari ◽  
S. Kumar ◽  
D. Radhakrishnan
Keyword(s):  
Least Squares ◽  
Nonlinear Distortion ◽  
Least Squares Estimation ◽  
Distortion Correction ◽  
New Approach ◽  
Endoscopic Images

scholarly journals VLSI Implementation of Barrel Distortion Correction in Endoscopic Images based on Least Squares Estimation

2013 ◽  
pp. 29-36
Author(s):  
R. Sathya Vignesh ◽  
S. Saranya Devi
Keyword(s):  
Least Squares ◽  
Least Squares Estimation ◽  
Distortion Correction ◽  
Vlsi Implementation ◽  
Memory Requirement ◽  
Hardware Cost ◽  
Endoscopic Images ◽  
Odd Order ◽  
Order Polynomial ◽  
Barrel Distortion

An efficient VLSI Implementation of Barrel Distortion Correction (BDC) in Endoscopic Images based on Least Squares Estimation is presented in this paper. Computational complexity is reduced by employing Odd order polynomial, as an approximation to Back-mapping expansion polynomial. This polynomial can be solved in monomial form, by Estrin's algorithm. In Estrin’s algorithm, a high order expression can be factorized in to sub-expression, which can be evaluated in parallel. In our simulation, on comparison with some existing distortion correction techniques, 75% of hardware cost and 70% of memory requirement is reduced by using TSMC 0.18µm technology.

The Estimation of Blood Platelet Survival

1972 ◽  
Vol 28 (03) ◽  
pp. 447-456 ◽  
Author(s):  
E. A Murphy ◽  
M. E Francis ◽  
J. F Mustard
Keyword(s):  
Standard Deviation ◽  
Least Squares ◽  
Experimental Error ◽  
Blood Platelet ◽  
Least Squares Estimation ◽  
Systematic Relationship ◽  
Platelet Survival ◽  
The Mean ◽  
Normally Distributed

SummaryThe characteristics of experimental error in measurement of platelet radioactivity have been explored by blind replicate determinations on specimens taken on several days on each of three Walker hounds.Analysis suggests that it is not unreasonable to suppose that error for each sample is normally distributed ; and while there is evidence that the variance is heterogeneous, no systematic relationship has been discovered between the mean and the standard deviation of the determinations on individual samples. Thus, since it would be impracticable for investigators to do replicate determinations as a routine, no improvement over simple unweighted least squares estimation on untransformed data suggests itself.

Least Squares Estimation in Uncertain Differential Equations

2020 ◽  
Vol 28 (10) ◽  
pp. 2651-2655 ◽  
Author(s):  
Yuhong Sheng ◽  
Kai Yao ◽  
Xiaowei Chen
Keyword(s):  
Differential Equations ◽  
Least Squares ◽  
Least Squares Estimation
Sign in / Sign up

Export Citation Format

Share Document