<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8802</REFNUM><AUTHORS><AUTHOR>Xiao,Y.</AUTHOR><AUTHOR>Siebert,J.P.</AUTHOR><AUTHOR>Cockshott,W.P.</AUTHOR></AUTHORS><YEAR>2008</YEAR><TITLE>A Content-Adaptive Method for Fractional Image Rescaling Based On Constrained Seam Carving</TITLE><PLACE_PUBLISHED>IAENG International Conference on Imaging Engineering 2008</PLACE_PUBLISHED><PUBLISHER>N/A</PUBLISHER><LABEL>Xiao:2008:8802</LABEL><KEYWORDS><KEYWORD>Image rescaling</KEYWORD></KEYWORDS<ABSTRACT>In the digital cinema postproduction chain, image rescaling serves as a core function. The quality of rescaling is critical to maintaining the visual impact of a digital film at play-out. In the EU funded project IP-RACINE, it is required to address color distortion, artifacts and image blur in fractional rescaling within 1 pixel for a typical image of resolution 2K. To this end, we proposed a hybrid warping framework for fractional image rescaling that not only unifies the two dominant image rescaling methods, namely discrete mapping and interpolation, but also offers greater flexibility in preserve properties of image contents. Within this framework we have devised a novel rescaling method based on constrained seam carving. Compared with unconstrained seam carving[1], the new method can preserve global geometry of image contents and confine nonlinear distortion to be within pixel; compared with nearest neighbour mapping, it generates less visible artifacts; compared with interpolation methods, it can maintain color fidelity and sharpness in the original image.</ABSTRACT></RECORD></RECORDS></XML>