Paper
10 February 2005 Improved subpixel analysis algorithm for geometrical superresolution in miniature spectrometer
Huaidong Yang, Li Xu, Qingsheng He, Shurong He, Guofan Jin
Author Affiliations +
Abstract
This paper aims at reducing the bias distortion in familiar sub-pixel analysis algorithm in miniature spectrometer. The process of sub-pixel analysis is modeled and the fallibility in reported sub-pixel analysis algorithm is discussed. The discussion suggests that an important inducement for distortion is cumulated errors. Hence, an averaged sup-pixel analysis algorithm is put forward. According to the new algorithm, the same iteration is executed twice but in opposite directions and results of the same sub-pixels are averaged. Relative simulation indicates that compare with old ones the new algorithm reduces bias distortion by several times and contributes to an enhanced resolution and wavelength accuracy.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huaidong Yang, Li Xu, Qingsheng He, Shurong He, and Guofan Jin "Improved subpixel analysis algorithm for geometrical superresolution in miniature spectrometer", Proc. SPIE 5638, Optical Design and Testing II, (10 February 2005); https://doi.org/10.1117/12.572246
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KEYWORDS
Spectroscopy

Super resolution

Reconstruction algorithms

Spatial resolution

Distortion

Image resolution

Sensors

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