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Image Analysis : Gagandeep Kaur And Anand Kumar Mittal

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In this paper Gagandeep kaur and Anand Kumar Mittal have proposed a new hybrid technique and comparison of results of two image using it. They also proposed comparison of new hybrid algorithm with older. Discrete cosine transform and variance combination with hybrid discrete wavelet transform. These techniques provides good results in terms of Pseudo signal to noise ratio and mean square error. [11] Kede ma et al. has worked on the untouched area of perceptual quality assessment as used for multi-solarization image fusion. The authors have designed multi-solarization fusion data-list. They analyzed valued difference between the different multi-solarization image fusion. Findings given by authors are unsuccessful in finding …show more content…

Proposed method has worked as follows. Firstly, Positron Emission Tomography and Magnetic Resonance Images are taken as input for preprocessing Positron Emission Tomography images firstly decomposed into removal of noise and enhancing the input images using Gaussian filter to sharpen the input images filtering used high or low pass region carries more automatically and spectral information. This region decomposed by applying four level discrete wavelet transform. After this authors have combine high frequency coefficient of Positron Emission Tomography and Magnetic Resonance Images using average method. Similarly by combining low frequency coefficients of Positron Emission Tomography and Magnetic Resonance Images obtained fuse results for the low activity region. To get better structural information fuzzy C means clustering used. For avoiding color distortion color patching is also done. Finally fused image is extracted and displayed with less color distortion and without losing any structural information. In this research authors have proposed a new fusion method for fusing Positron Emission Tomography and Magnetic Resonance Images brain images on discrete wavelet transform with less colour distortion and without losing any anatomical

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