MLE versus ICTM - Which method is more effective under certain circumstances.
It can be rigorously proven that when dealing with non-negative objects (fluorescing objects) the I-divergence criterion (MLE) is the only consistent choice, whereas for objects which can be both positive and negative (e.g. sound) least squares (ICTM) is the best choice. Another viewpoint is that I-divergence incorporates the Poisson nature of the emitted fluorescence light whereas least squares incorporates Gaussian noise. With this in mind one could expect that for low noise levels where the differences in the Poisson and Gaussian distributions are small there is no preference between the methods other than their computational efficiency. One reason why we still have a preference for the MLE is that it handles noisy backgrounds much better than the ICTM. A disadvantage of the MLE is that it easily overemphasizes small structures, but we constrain this.
See also: Mle Ictm Snr Imp Faq.
Keywords: MLE ICTM I-divergence Poisson Gaussian noise
Categories: Faq Deconvolution, Huygens Faq, Imported Faqs
Platforms: Irix Linux
Related products: Hu Pro
