BibTeX:

@article{IJIRSTV1I11140,
     title={Benefits of Dual Tree Complex Wavelet Transform over Discrete Wavelet Transform for Image Fusion},
     author={ROHIT RAJ SINGH and RAVI MISHRA},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={259--263},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11140.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In various real life applications such as medical image diagnosis, image fusion plays important role. Because of undefined nature of practical imaging systems the capture images or acquired images are corrupted from different types of noises hence fusion of image is an integrated approach where reduction of noise and retaining the original features of image is essential. Here the input to fusion involves set of images taken from different modalities of the same scene; Output is a better quality image. Discrete Wavelet Transform (DWT) has a wide range of application in fusion of noise images. Although this technique has provided substantial development over more inhabitant methods, this transform faces two major drawbacks, the shift variance and lack of directionality associated with its wavelet bases. These drawbacks have been overcome by the application of a reversible and discrete complex wavelet transform (the Dual Tree Complex Wavelet Transform DT-CWT). This paper is therefore based on the disadvantages of DWT in the field of Image Fusion and overcoming those disadvantages using a modern Image Fusion technique DT-CWT.

Wavelet Transform, Discrete Wavelet Transform (DWT), Dual-Tree Complex Wavelet Transform (DT-CWT), Image Fusion