  A high accuracy photometry algorithm is needed to take full advantage of the
potential of the transit method for the characterization of exoplanets,
especially in deep crowded fields. It has to reduce to the lowest possible
level the negative influence of systematic effects on the photometric accuracy.
It should also be able to cope with a high level of crowding and with large
scale variations of the spatial resolution from one image to another. A recent
deconvolution-based photometry algorithm fulfills all these requirements, and
it also increases the resolution of astronomical images, which is an important
advantage for the detection of blends and the discrimination of false positives
in transit photometry. We made some changes to this algorithm in order to
optimize it for transit photometry and used it to reduce NTT/SUSI2 observations
of two transits of OGLE-TR-113b. This reduction has led to two very high
precision transit light curves with a low level of systematic residuals, used
together with former photometric and spectroscopic measurements to derive new
stellar and planetary parameters in excellent agreement with previous ones, but
significantly more precise.
