Blur-specific image quality assessment of microscopic hyperspectral images

Summary

Hyperspectral (HS) imaging (HSI) expands the number of channels captured within
the electromagnetic spectrum with respect to regular imaging. Thus, microscopic HSI can
improve cancer diagnosis by automatic classification of cells. However, homogeneous focus is
difficult to achieve in such images, being the aim of this work to automatically quantify their focus
for further image correction. A HS image database for focus assessment was captured. Subjective
scores of image focus were obtained from 24 subjects and then correlated to state-of-the-art
methods. Maximum Local Variation, Fast Image Sharpness block-based Method and Local Phase
Coherence algorithms provided the best correlation results. With respect to execution time, LPC
was the fastest

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DOI : doi.org/10.1364/OE.476949
NVA : hdl.handle.net/11250/3062263