Image denoising has been studied extensively. Many of the studies, however, focus on normal images with artificially added Gaussian noise. The results are often either misleading or not optimal. Color images captured by digital cameras are often noisy, but the noise profile is nothing like those that have been added artificially. In this talk we present a denoising scheme that combines wavelets and total variation PDE techniques. We show that it works very well for naturally captured digital color images.