Chromophore quantification in optoacoustic tomography is challenging due to signal contributions from strongly absorbing background tissue chromophores and the depth-dependent light attenuation. Herein we present a procedure capable of correcting for wavelength-dependent light fluence variations using a logarithmic representation of the images taken at different wavelengths assisted with a blind unmixing approach. It is shown that the serial expansion of the logarithm of an optoacoustic image contains a term representing the ratio between absorption of the probe of interest and other background components. Under assumptions of tissue-like background absorption variations, this term can be readily isolated with an unmixing algorithm, attaining quantitative maps of photo-absorbing agent distribution.