Paper
22 February 2011 Correction of axial optical aberrations in hyperspectral imaging systems
Author Affiliations +
Abstract
In hyper-spectral imaging systems with a wide spectral range, axial optical aberrations may lead to a significant blurring of image intensities in certain parts of the spectral range. Axial optical aberrations arise from the indexof- refraction variations that is dependent on the wavelength of incident light. To correct axial optical aberrations the point-spread function (PSF) of the image acquisition system needs to be identified. We proposed a multiframe joint blur identification and image restoration method that maximizes the likelihood of local image energy distributions between spectral images. Gaussian mixture model based density estimate provides a link between corresponding spatial information shared among spectral images so as to find and restore the image edges via a PSF update. Model of the PSF was assumed to be a linear combination of Gaussian functions, therefore the blur identification process had to find only the corresponding scalar weights of each Gaussian function. Using the identified PSF, image restoration was performed by the iterative Richardson-Lucy algorithm. Experiments were conducted on four different biological samples using a hyper-spectral imaging system based on acousto-optic tunable filter in the visible spectral range (0.55 - 1.0 μm). By running the proposed method, the quality of raw spectral images was substantially improved. Image quality improvements were quantified by a measure of contrast and demonstrate the potential of the proposed method for the correction of axial optical aberrations.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Žiga Špiclin, Franjo Pernuš, and Boštjan Likar "Correction of axial optical aberrations in hyperspectral imaging systems", Proc. SPIE 7891, Design and Quality for Biomedical Technologies IV, 78910S (22 February 2011); https://doi.org/10.1117/12.873180
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Cited by 4 scholarly publications.
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KEYWORDS
Point spread functions

Image restoration

Imaging systems

Hyperspectral systems

Image quality

Image processing

Optical aberrations

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