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YIWEI JIANG, DE XU, NA LIU AND CONGYAN LANG
Department of Computer and Information Technology
Beijing Jiaotong University
Beijing, 100044 P.R. China
Visual morphing is a class of techniques that deal with the metamorphosis of one
image into another, which generates a series of smoothly continuous intermediate images
between two given images. Over the past few years, a number of computable models of
visual morphing have been developed. However, most of these models are based on the
pixel domain. Little theoretical and computational work of visual morphing is based on the
compressed domain. In this paper, two image morphing algorithms in the discrete cosine
transform (DCT) domain are proposed. The first method is based on the feature-based
method. Salient blocks and edge blocks as features are detected in the DCT domain first.
Then feature correspondences are built manually. At last, a mapping function is constructed
on two hierarchies. The second method is for the case that features are not distinct
and feature correspondences can¡¦t be built easily. A morphing method following the
idea of fluid simulation is proposed. The experimental results have demonstrated the convenience,
efficiency and accuracy of the proposed algorithm.
Received February 2, 2009; revised April 1 & May 27, 2009; accepted July 10, 2009.
Communicated by Tong-Yee Lee.
* This paper was supported by the National Nature Science Foundation of China (No. 60803072), and the National
Nature Science Foundation of China (90820013) and Bejjing Jiaotong University Science Foundation
(2007XM008).