Image morphing is the construction of an image sequence depicting a gradual transition between two images, has been extensively investigated now a days. 2D image morphing adds animations to the silent photographs which generally communicate limited information. The color transition method used in image morphing decides the quality of the intermediate images generated by controlling the color blending rate. If the color blending is done uniformly throughout the morphing process, good morph sequence is generated. Morph sequence has earlier morphs similar to source and last morphs similar to the target image. The middle image in the entire morph sequence is neither source nor the target image. Hence the quality of morphs depends on the quality of middle images. If it look good then entire sequence looks good. In this paper methods of color transition by averaging the pixels and by merging the color difference between pixels are proposed. The later one generates better quality middle image and entire morph sequence than most commonly used cross dissolve method of color transition.

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Color Transition Cross Dissolve Gaussian Function Active Shape Model (ASM) Triangulation Pixel Transformation