Image fusion is the process of combine different images from one or multiple imaging to raise the imaging quality. The concept is to improve the image content by combing images. Image fusion is important for improving the image quality and clinical application of medical image. Computed Tomography best suited for bone rift and reduction in providing information of the tissues, at the same time Magnetic Resolution Imaging gives soft tissue information and lacks in boundary information. In this paper Ripplet transform is resolving 2 dimensional singularities and show image edges more efficiently. At beginning the medical images are reconstruct by discrete ripplet transform. Fusion rules are applied to low frequency and high frequency subband. Apply inverse discrete ripplet transform to fused coefficient of low frequency and high frequency, for getting fused image. The performance of proposed system is calculated by quantitative approach such as spatial frequency, entropy, mutual information, peak signal to noise ratio, and root mean square error.
Image morphing is used to provide visual effects in television and film. Image Morphing derives from the word Metamorphosis, means change shape and size of an image. Transition of one object to another is termed as Morphing. This is an animation technique which metamorphoses the first image into the second image. The morphing technique has two steps: firstly it warps two images to have same shape and in second step it cross dissolves resulting images. The warping is 2-D geometric transformation of image, when applied, it generates a distorted image and cross-dissolving means color transformation. This paper uses mesh warping technique to build a framework of image based morphing of facial animation with low complexity. Image morphing is implemented using MATLAB software, which uses some digital images which are captured from camera. After morphing process, the program will output N number of images. These images are used together into a short animated sequence. General TermsViola Jones Algorithm, feature (control) points, image partitioned, Mesh Warping.
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