Image compression: wavelet-type transform along generalized scan
Ahmad C. Ansari, Izidor C. Gertner, Yehoshua Y. Josh Zeevi, Martin E. Tanenhaus · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
An efficient method for visual data compression is presented, combining generalized Peano Scan, wavelet decomposition and adaptive sub-band coding technique. The Peano Scan which is an application of the Peano curve to the scanning of images, is incorporated with the encoding scheme in order to cluster highly correlated pixels. Using wavelet decomposition, an adaptive sub-band coding technique is developed to encode each sub-band separately with an optimum algorithm. Discrete Cosine Transform (DCT) is applied on the low spatial frequency sub-band, and high spatial frequency sub-bands are encoded using Run Length encoding technique.