Introduction: Partially parallel imaging (PPI) techniques [1-2] reduce acquisition time at the cost of signal to noise ratio (SNR). Regularization techniques [3-4] can be used to improve image quality by balancing SNR and residual aliasing artifact/spatial resolution through a regularization parameter set. In this work, an unsupervised adaptive method is proposed to reduce noise and artifact le...

The noise in reconstructed slices of X-ray Computed Tomography (CT) is of unknown distribution, non-stationary, oriented and difficult to distinguish from main structural information. This requires the development of special post-processing methods based on the local statistical evaluation of the noise component. This paper presents an adaptive method of reducing noise in CT images employing th...

The multiplicative nature of speckle noise present in imaging modalities like echocardiography complicates the despeckling procedure as it would be necessary to remove noise with the edges well preserved. A novel speckle reduction technique based on integration of moving average filter using fuzzy triangulation membership function (TMAV) with moving average center with wiener filter is proposed...