Technique of distortion correction in endoscopic images using a polynomial expansion

1999 ◽  
Vol 37 (1) ◽  
pp. 8-12 ◽  
Author(s):  
K. V. Asari ◽  
S. Kumar ◽  
D. Radhakrishnan
Keyword(s):  
Distortion Correction ◽  
Polynomial Expansion ◽  
Endoscopic Images

Automatic Distortion Correction of Endoscopic Images Captured With Wide-Angle Zoom Lens

2013 ◽  
Vol 60 (9) ◽  
pp. 2603-2613 ◽  
Author(s):  
Tung-Ying Lee ◽  
Tzu-Shan Chang ◽  
Chen-Hao Wei ◽  
Shang-Hong Lai ◽  
Kai-Che Liu ◽  
...  
Keyword(s):  
Distortion Correction ◽  
Zoom Lens ◽  
Wide Angle ◽  
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.

SPECTRA: A program for processing electron images of crystals

1992 ◽  
Vol 50 (1) ◽  
pp. 132-133
Author(s):  
M.F. Schmid ◽  
R. Dargahi ◽  
M. W. Tam
Keyword(s):  
Lattice Distortion ◽  
Data Transfer ◽  
Reciprocal Lattice ◽  
Data Entry ◽  
Image Data ◽  
Distortion Correction ◽  
Specimen Preparation ◽  
Electron Image ◽  
Computer Controlled ◽  
Program Modules

Electron crystallography is an emerging field for structure determination as evidenced by a number of membrane proteins that have been solved to near-atomic resolution. Advances in specimen preparation and in data acquisition with a 400kV microscope by computer controlled spot scanning mean that our ability to record electron image data will outstrip our capacity to analyze it. The computed fourier transform of these images must be processed in order to provide a direct measurement of amplitudes and phases needed for 3-D reconstruction.In anticipation of this processing bottleneck, we have written a program that incorporates a menu-and mouse-driven procedure for auto-indexing and refining the reciprocal lattice parameters in the computed transform from an image of a crystal. It is linked to subsequent steps of image processing by a system of data bases and spawned child processes; data transfer between different program modules no longer requires manual data entry. The progress of the reciprocal lattice refinement is monitored visually and quantitatively. If desired, the processing is carried through the lattice distortion correction (unbending) steps automatically.

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