Image processing has emerged as a new frontier in applied mathematics. It has all the right ingredients: important applications, interesting and non-standard mathematical tools and models, and challenging computations. Ideas from diverse areas find fruitful applications here: harmonic analysis, Bayesian statistics, nonlinear PDEs, differential geometry, CFD, multiscale methodologies, optimization, etc. There is something in it for anyone (in particular students!) with a background in applied mathematics and a willingness to learn from other fields. In Dr Chan's talk, he will use some examples from his work to illustrate this perspective.