Image Morphing is a user friendly way of managing images. The proposed technique extends conventional image morphing algorithms by offering additional control over the processing of the individual multi resolutions that are used in the wavelet representation when moving from the source to the destination image.
In order to morph between two images, it is necessary to warp both images towards an intermediate shape. The intermediate shape can be defined as any linear combination of the shapes of the two images, that is, taking any fraction of the two images respectively. This project report contains full project coding of image morphing, data flow diagram, flow chart, testing etc.
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