PERFORMANCE ENHANCEMENT OF MEDICAL IMAGE FUSION BASED ON DWT AND SHARPENING WIENER FILTER
Nada Jasim Habeeb
Image fusion,Multimodal medical images,SWT,PCA,DT-CWT,DWT,Focus operators
The fusion of multimodal medical images plays an important role in data integration and improving image quality.
It has a fundamental role in the accuracy of medical analysis and diagnosis. Despite the recent technological
development, medical images may be exposed to blur and noise from various sources. This will affect the accuracy
of the medical analysis. Therefore, de-blurring or noise removal from medical images is essential in this field.
Discrete Wavelet Transform, DWT, is generally utilized in image fusion spatially in the fusion of the multimodal
images. It produces a good image representation. The drawback of DWT-based image fusion is the blur presented
in the fused image due to the limited directionality of wavelets. To solve this problem, Sharpening Wiener Filter
and DWT-based image fusion for multimodal medical images are proposed. The proposed fusion method is
evaluated using some of focus operators that were used to measure the amount of focus in the test images. The
results showed that the proposed fusion gives good values of focus operators compared with the values of focus
operators of image fusion techniques that are based on wavelet domain.