Wavelet and PDE techniques are among the most popular and powerful mathematical techniques for image processing. Superficially, they seem to be based on completely different philosophies and techniques and indeed the respective research communities have been quite independent of each other. In this talk, I'll show, by several examples of our own works and others, how a synergistic combination of these two approaches can lead to powerful techniques that can reap the special advantageous properties of each.