Image enhancement of the galaxy VV371c using the 2D fast wavelet transform
James F. Scholl · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
The fast wavelet transform for images developed by Mallat is a useful and powerful tool for image processing, with its main applications being compression, feature extraction and image enhancement. In particular, since this algorithm segments an image with respect to both spatial frequency and orientation, image enhancement becomes more precise and efficient. This idea is demonstrated by the removal of background noise and flaws from two digitized images of the faint galaxy VV371c. This object was first studied in the early 1980's using older and less sophisticated computer technologies and image processing techniques. We present results of the wavelet based image analysis of VV371c which yield new conclusions as to this galaxy's structure and morphological classification.