Dafner, RevitalCohen-Or, DanielMatias, Yossi2015-02-162015-02-1620001467-8659https://doi.org/10.1111/1467-8659.00413A context-based scanning technique for images is presented. An image is scanned along a context-based space filling curve that is computed so as to exploit inherent coherence in the image. The resulting one-dimensional representation of the image has improved autocorrelation compared with universal scans such as the Peano-Hilbert space filling curve. An efficient algorithm for computing context-based space filling curves is presented. We also discuss the potential of improved autocorrelation of context-based space filling curves for image and video lossless compression.10.1111/1467-8659.00413209-218