HYBRID APPROACH FOR NOISE REMOVAL AND IMAGE ENHANCEMENT OF BRAIN TUMORS IN MAGNETIC RESONANCE IMAGES

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In medical image processing, Magnetic Resonance Imaging (MRI) is one of significant diagnostictechniques. It provides high quality of important information about the analysis of human soft tissue whenmeasured with CT imaging modalities; hence it is suitable for diagnosis at best. However, if it gives qualityof information, image may distorted by noise because of image acquisition device and transmission. Thenoises in MR image reduces the quality of image and also damages the segmentation task which can leadto faulty diagnosis. Noises have to reduce at the same time there is no information loss. This paper proposea hybrid approach to enhance the brain tumor MRI images using combined features of AnisotropicDiffusion Filter (ADF) with Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF).ADF scheme provides a superior performance by removing noise while preserving image details andenhancing edges. MDBUTMF helps in image denoising as well as preserving edges satisfactorily when thenoise level is high. The performance of this filter is evaluated by carrying out a qualitative comparison ofthis method with other filters namely, ADF filter, Modified Decision Algorithm, Median filter, MDBUTMF

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In medical image processing, Magnetic Resonance Imaging (MRI) is one of significant diagnostic
techniques. It provides high quality of important information about the analysis of human soft tissue when
measured with CT imaging modalities; hence it is suitable for diagnosis at best. However, if it gives quality
of information, image may distorted by noise because of image acquisition device and transmission. The
noises in MR image reduces the quality of image and also damages the segmentation task which can lead
to faulty diagnosis. Noises have to reduce at the same time there is no information loss. This paper propose
a hybrid approach to enhance the brain tumor MRI images using combined features of Anisotropic
Diffusion Filter (ADF) with Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF).
ADF scheme provides a superior performance by removing noise while preserving image details and
enhancing edges. MDBUTMF helps in image denoising as well as preserving edges satisfactorily when the
noise level is high. The performance of this filter is evaluated by carrying out a qualitative comparison of
this method with other filters namely, ADF filter, Modified Decision Algorithm, Median filter, MDBUTMF

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