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Application of field dependent polynomial model
- Source :
- Applications of Digital Image Processing XXXIX.
- Publication Year :
- 2016
- Publisher :
- SPIE, 2016.
-
Abstract
- Extremely wide-field imaging systems have many advantages regarding large display scenes whether for use in microscopy, all sky cameras, or in security technologies. The Large viewing angle is paid by the amount of aberrations, which are included with these imaging systems. Modeling wavefront aberrations using the Zernike polynomials is known a longer time and is widely used. Our method does not model system aberrations in a way of modeling wavefront, but directly modeling of aberration Point Spread Function of used imaging system. This is a very complicated task, and with conventional methods, it was difficult to achieve the desired accuracy. Our optimization techniques of searching coefficients space-variant Zernike polynomials can be described as a comprehensive model for ultra-wide-field imaging systems. The advantage of this model is that the model describes the whole space-variant system, unlike the majority models which are partly invariant systems. The issue that this model is the attempt to equalize the size of the modeled Point Spread Function, which is comparable to the pixel size. Issues associated with sampling, pixel size, pixel sensitivity profile must be taken into account in the design. The model was verified in a series of laboratory test patterns, test images of laboratory light sources and consequently on real images obtained by an extremely wide-field imaging system WILLIAM. Results of modeling of this system are listed in this article.
- Subjects :
- Wavefront
Point spread function
Pixel
Computer science
business.industry
Zernike polynomials
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
021001 nanoscience & nanotechnology
Real image
Viewing angle
01 natural sciences
010309 optics
symbols.namesake
Polynomial and rational function modeling
Computer Science::Computer Vision and Pattern Recognition
0103 physical sciences
symbols
Computer vision
Sensitivity (control systems)
Artificial intelligence
0210 nano-technology
business
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- Applications of Digital Image Processing XXXIX
- Accession number :
- edsair.doi...........344c635c4b285d410e662c3aa9cc73cc
- Full Text :
- https://doi.org/10.1117/12.2237310