• ANILKUMAR BETHAPUDI
• D.V.L.N Sastry
• P.Kameswara Rao

In Medical image enhancement , image fusion techniques are extensively applied to aid medical diagnosis by integrate best features of two or more images of various modalities such as Computed Tomography (CT) , positron emission tomography (PET),and Magnetic Resonance Image (MRI) into a single output image that contains salient features from all inputs. In this paper various hybrid fusion algorithms are applied on a CT and MRI images, such as PCA,DCT,DWT and SWT. The largest Eigen value of the covariance matrices of each image are used to obtain weights for next stage image by Principal component analysis (PCA),different frequency components of input images are separated by Discrete Cosine Transform (DCT),detection of break down points to overcome the lack of translation invariance of Discrete Wavelet Transform (DWT) by stationary wavelet Transform(SWT). Enhancing the image quality by fusioning of two input images with individual algorithms, these fused images again fused by multi hybrid fusion. This improves the image quality compared to established methods. Overall, the non-linear fusion rule holds strong potential to help improve image fusion applications in medicine and indeed other fields.

image fusion,CT,MRI,PCA,DCT,DWT,SWT,HYBRID FUSION

"MEDICAL IMAGE ENHANCEMENT BY HYBRID IMAGE FUSION TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.60-69, January-2019, Available :http://www.jetir.org/papers/JETIR1901109.pdf

"MEDICAL IMAGE ENHANCEMENT BY HYBRID IMAGE FUSION TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp60-69, January-2019, Available at : http://www.jetir.org/papers/JETIR1901109.pdf