INTRODUCTION Filtering is a preliminary process in many medical image processing applications, which is aimed at restoring a noise-corrupted image to its noiseless counterpart. Post-processing tasks, e.g., visualization, segmentation and quantification, may benefit from the reduction of noise. Diffusion equations with scalar-valued and tensor-valued diffusivities [1] and non-linear filters [2] ...

A pixel output node of the image sensor is connected to the input gates of several neuron MOSFETs which are implemented on the periphery of the imaging area. The pixel output is weighted by the input gate's capacitance value and summed up on the floating gate. Thus the filter characteristic is determined by the input gates' capacitance values and the number of pixels connected to the input gate...

A model for grey-tone image enhancement using the concept of fuzzy sets is suggested. It involves primary enhancement, smoothing, and then final enhancement. The algorithm for both the primary and final enhancements includes the extraction of fuzzy properties corresponding to pixels and then successive applications of the fuzzy operator "contrast intensifier" on the property plane. The three di...

• Section 2: Detailed explanation and analysis of our synthetic data generation method for training CEILNet in the reflection removal task. • Section 3: Comparison of an I-CNN network with varying convolutional layers against the full CEILNet pipeline. • Section 4: Visualization of more edge maps predicted by E-CNN for both the reflection removal and image smoothing tasks. • Section 5: More vis...

J. E. Lee, M. K. Chung, T. R. Oakes, A. L. Alexander Medical Physics, University of Wisconsin, Madison, WI, United States, The Waisman Laboratory for Functional Brain Imaging and Behavior, University of Wisconsin, Madison, WI, United States, Statistics, University of Wisconsin, Madison, WI, United States Introduction DTI measures, such as FA, trace and the eigenvector orientations, are very sen...

Most registration algorithms, such as Demons, align two scans by iteratively finding the deformation minimizing the image dissimilarity at each location and smoothing this minimum across the image domain. These methods generally get stuck in local minima, are negatively impacted by missing correspondences between the images, and require careful tuning of the smoothing parameters to achieve opti...