As light travels through a disordered medium such as biological tissues, it undergoes multiple scattering events. This phenomenon is detrimental to in-depth optical microscopy, as it causes a drastic degradation of contrast, resolution and brightness of the resulting image beyond a few scattering mean free paths. However, the information about the inner reflectivity of the sample is not lost; only scrambled. To recover this information, a matrix approach of optical imaging can be fruitful. Here we report on the compressed measurement of a high-dimension reflection matrix R via low coherence interferometry. Then, we show how the inner transmission matrix linking each camera sensor and each medium voxel can be extracted through an iterative multi-scale analysis of wave distortions contained in R. This transmission matrix is the Holy Grail for volumetric imaging since it enables an optimal compensation of forward multiple scattering paths and provides a three-dimensional confocal image of the sample as the latter one had become digitally transparent. The proof-of-concept experiment is performed on a human opaque cornea and an extension of the penetration depth by a factor five is demonstrated compared to the state-of-the-art.