Digital Image Processing

R. Muthalagu ¹, E. U. Iniyan ²

Affiliations
1 Department of Electronics and Communication Engineering, Prathyusha Institute of Technology and Management, Anna University of Technology, Chennai-113, IN
2 Department of Electronics and Communication Engineering, Prathyusha Institute of Technology and Management, Anna University of Technology, Chennai-113, IN

Abstract

This paper analyzes the characteristics of combination of wavelet transform and second generation Curvelet transform. In the existing system, Wavelet transform of two images (i.e.) the image may be CT image or MRI image is obtained and the curvelt transform is taken for the wavelet transformed image. Finally the two curvelet transformed images are fused. The limitation of this method is loss of curved ends in WT image and loss of sharp ends in the Curvelet transformed image. Wavelet transform takes block base to approach the singularity of C2. So curved ends are missed in this transformation but we can obtain the sharp ends. By using Curvelt transform we can able to recover the curved ends of the image because it takes wedge base to approach the singularity of C2. But we missed the sharp ends in the Curvelet transformed image. But in the proposed system, Wavelet transform as well as Curvelet transform is taken for two CT images. These two transformed images are then fused. The similar technique is applied for MRI image also. So that we can able to recover both the sharp ends and the curved ends when we use these two transformed images. The fused image is more informative than the original image.

Keywords

Component, Image Processing, Image Fusion, Regional Activity, Wavelet Transform, Second Generation Curvelet Transform.

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