An Image Morphing Technique Based on Optimal Mass Preserving Mapping

©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.DOI: 10.1109/TIP.2007.896637Image morphing, or image interpolation in the time domain, deals with the metamorphosis of one image into another. In this paper, a new class of image morphing algorithms is proposed based on the theory of optimal mass transport. The 2 mass moving energy functional is modified by adding an intensity penalizing term, in order to reduce the undesired double exposure effect. It is an intensity-based approach and, thus, is parameter free. The optimal warping function is computed using an iterative gradient descent approach. This proposed morphing method is also extended to doubly connected domains using a harmonic parameterization technique, along with finite-element methods

A Survey of Morphing Techniques

Image morphing provides the tool to generate the flexible and powerful visual effect. Morphing depicts the transformation of one image into another image. The process of image morphing starts with the feature specification phase and then proceeds to warp generation phase, followed by the transition control phase. This paper surveys the various techniques available for all three stages of image morphing

Image morphing based on morphological interpolation combined with linear filtering

This paper describes a novel approach to color image morphing which is based on the combination of morphological image processing tools and linear filtering. In the proposed method the morphing engine is provided by the morphological interpolation by means of the morphological median. By the successive generation of morphological medians using an algorithm proposed in the paper, the sequence transforming one input image into another one is produced. The algorithm makes use of the similarity measure between two successive frames. Two versions of the algorithm are proposed - in the first one the required parameter is the number of frames of the final sequence, in the second one the maximal acceptable error between two consecutive frames. Three linear tools are proposed to improve the visual quality of the morphing sequence: the temporal linear filtering, the spatial linear filtering and the auxiliary cross-dissolving. Contrary to the traditional approaches to image morphing, the proposed method doesn't require any control points. The human operator is obliged to introduce only a few input parameters. Two examples showing the results are also presented in the paper