Title :
A multiresolution approach for image morphing
Author :
Chalidabhongse, Junavit ; Kuo, C. C Jay
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A new multiresolution approach for image morphing is proposed in this research. By exploring the fact that the human visual system recognizes primarily global features of objects in a fast changing image sequence, we use mainly the low frequency information of images in morphing. Besides, we consider the morphing process in the wavelet domain rather than in the spatial domain and, as a consequence, both spatial and frequency characteristics of the initial and final images in a range of resolution scales can be effectively used. Experimental results of morphing of two face images are given 20 illustrate the performance of the proposed method
Keywords :
image resolution; image sequences; wavelet transforms; experimental results; face images; frequency characteristics; global features; human visual system; image morphing; image sequence; low frequency information; multiresolution approach; performance; spatial characteristics; wavelet domain; Frequency; Humans; Image processing; Image recognition; Image resolution; Image segmentation; Image sequences; Partitioning algorithms; Shape; Signal processing algorithms; Signal resolution; Spatial resolution; Visual system; Wavelet domain; Wavelet transforms;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342460
