  The paper reviews progress in imaging in radio interferometry for the period
1993-1996. Unlike an optical telescope, the basic measurements of a radio
interferometer (correlations between antennas) are indirectly related to a sky
brightness image. In a real sense, algorithms and computers are the lenses of a
radio interferometer. In the last 20 years, whereas interferometer hardware
advances have resulted in improvements of a factor of a few, algorithm and
computer advances have resulted in orders of magnitude improvement in image
quality. Developing these algorithms has been a fruitful and comparatively
inexpensive method of improving the performance of existing telescopes, and has
made some newer telescopes possible. In this paper, we review recent
developments in the algorithms used in the imaging part of the reduction
process. What constitutes an `imaging algorithm'? Whereas once there was a
steady `forward' progression in the reduction process of editing, calibrating,
transforming and, finally, deconvolving, this is no longer true. The
introduction of techniques such as self-calibration, and algorithms that go
directly from visibilities to final images, have made the dividing lines less
clear. Although we briefly consider self-calibration, for the purposes of this
paper calibration issues are generally excluded. Most attention will be
directed to the steps which form final images from the calibrated visibilities.
