The top left plot shows the unknown signal (sometimes called the source). The orange region is the true original signal, and the red curve is the signal inferred by applying some number of Richardson–Lucy iterations to the measurement.
The bottom plot shows the measured degraded signal (sometimes called the image). The orange region is the actual measurement, with some Poisson noise, as is realistic for many forms of measurement. The red curve is the convolution of the inferred signal with the impulse response function.
The plot stops after 400 iterations, after which there's pretty good agreement between the true signal and the inferred signal. To find out what happens next, see File:Richardson-Lucy deconvolution gone wild.gif.
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Captions
The Richardson–Lucy algorithm used to reconstruct a 1D time-trace from a noisy measurement