<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8366</REFNUM><AUTHORS><AUTHOR>Cockshott,W.P.</AUTHOR><AUTHOR>Balasuriya,L.S.</AUTHOR><AUTHOR>Gunawan,I.P.</AUTHOR><AUTHOR>Siebert,J.P.</AUTHOR></AUTHORS><YEAR>2007</YEAR><TITLE>Vector Quantisation Based Image Enhancement</TITLE><PLACE_PUBLISHED>Proc. 2nd International Conference on Computer Vision Theory and Applications (VISAPP 2007), Vol. 1, Barcelona, Spain, 8-11 March 2007.</PLACE_PUBLISHED><PUBLISHER>N/A</PUBLISHER><PAGES>79-84</PAGES><ISBN>978-972-8865-73-3</ISBN><LABEL>Cockshott:2007:8366</LABEL><KEYWORDS><KEYWORD>Image rescaling</KEYWORD></KEYWORDS<ABSTRACT>We present a new algorithm for rescaling images inspired by fractal coding. It uses a statistical model of the relationship between detail at different scales of the image to interpolate detail at one octave above the highest spatial frequency in the original image. We compare it with Bspline and bilinear interpolation techniques and show that it yields a sharper looking rescaled image.</ABSTRACT></RECORD></RECORDS></XML>