A Survey of Morphing Techniques

Abstract

Abstract-

Image Morphing Techniques: A Review

“…A study presented in [17] proved that the result of a morphed image is very bad in the case of applying only cross-dissolving operations without warping, the reason for that is, the input and the destination pictures are not aligning. Because the warping algorithm keeps the geometric alignment of the areas by the cross-dissolving operation, so the morph operation will achieve a fluid transformation between the destination and the source image [3]. Figure 2, presents the progress of cross dissolving operation on five frames, it is clear that in the middle step, there is double-exposure effect also appears, that the input images will contribute equally to the output [1] [2].…”

“…Years ago, when morphing was not developed yet, image transformation operation was achieved with the help of the cross-dissolve technique [3]. This operator makes a transformation on two images without considering the transition between the different objects contained in the image [5].…”

“…The cross-dissolve method can be considered a primitive method of morphing operation, and suffer from some visual artifact that appears on the resulting morphed image. One of this method's problems is that the image at halfway through the morphing process, maybe seemed to be a "ghost" effect or a (gloomy zigzag) image [3] [13], also the outcomes of the crossing-dissolve approach are poor, having a doubleexposure effect apparent in misaligned regions [2] [3]. Besides when using face image morphing the double exposure result within the eyes and mouth areas is seen and the morph doesn't look natural [14].…”

“…Morphing technique for image processing which is also known as "metamorphosis", has proven to be a powerful tool for visual effects [1] [2]. Morphing operation is defined as, a process that changes one image into another through a seamless transition [3]. Appling image metamorphic on two images starts first with the animator to establish the correspondence between the pairs of features primitive, such as curves, mesh nodes, line segments, and points [1] [2].…”

“…Where warping determines how pixels from one image correlate with corresponding pixels from the other image [4]. The corresponding feature sets are then used to produce a mapping function, which is the (warp function) [3]. The morphing algorithm's performance depends on selecting a point from the images to be mixed according to some mathematical equations related to the applied algorithm.…”