Multi-focus image fusion using DT-CWT, curvelet transform and NSCT

The method of combining images having different focus depths to get an image with full information is known as multi focus image fusion. For good enhancement and to get all the information in one image, different methods have been used before. To extract features accurately for multi focused image data, this paper involves new image fusion methods based on Dual Tree-Complex Wavelet Transform (DT-CWT), Curvelet transform and Nonsubsampled Contourlet transform (NSCT). The parts of the image set which are not in focus can be made available in a single image. Apart from this, good clarity and good contrast can also be obtained from fused image. From the results of statistical evaluation parameters demonstrated for the image pairs, the results of the used techniques can be found and are compared with each other.