this project describes the steps to process a Bayer raw sensor output image which is noisy, undersampled, and blurred. The final output is a de-noised, de-blurred, and upsampled version of the input image. Some of the in-between steps include lens shading correction, color balancing, demosaicing, color correction, etc. Keywords—raw image ; deblurring ; denoising ; image deconvolution ;

This paper reviews resampling of nonuniformly sampled k-space data to a Cartesian grid and adds a new formula enabling quick computation of the shape parameter B of the KaiserBessel convolution window. In addition, a very recently conceived iterative estimation of the sampling density correction is explained and applied to sparse radial MRI scans. Keywords— rapid scanning, undersampling, griddi...

As near-infrared spectroscopy (NIRS) broadens its application area to different age and disease groups, motion artifacts in the NIRS signal due to subject movement is becoming an important challenge. Motion artifacts generally produce signal fluctuations that are larger than physiological NIRS signals, thus it is crucial to correct for them before obtaining an estimate of stimulus evoked hemody...

Robustness is one of the primary performance criteria for an Intelligent Video Surveillance (IVS) system. One of the key factors in enhancing the robustness of dynamic video analysis is, providing accurate and reliable means for shadow detection. If left undetected, shadow pixels may result in incorrect object tracking and classification, as it tends to distort localization and measurement info...