Multiscale Feature Identification in the Solar Atmosphere

Multiscale methods offer a powerful approach to solar image processing and analysis. In this paper, wavelet-based methods are applied to a sequence of TRACE 195 passband images and LASCO C2/C3 white-light images to unambiguously identify faint features associated with the 2002 April 21 X-class flare and CME. Morphological properties, such as feature width, height, velocity and acceleration are then extracted, and compared to recent results from traditional image processing techniques.