We discuss a few new motion deblurring problems that are significant to kernel estimation
and non-blind deconvolution. We found that strong edges do not always profit kernel …

The linear and nonlinear scale spaces, generated by the inherently real-valued diffusion
equation, are generalized to complex diffusion processes, by incorporating the free …

Recent years have witnessed the emergence of new image smoothing techniques which
have provided new insights and raised new questions about the nature of this well-studied …

Recent computational and technological advances in X‐ray computed tomography (CT)
provide exciting new means for nondestructive, three‐dimensional imaging of soil–water …

Blind image deblurring is a challenging problem in computer vision, which aims to restore
both the blur kernel and the latent sharp image from only a blurry observation. Inspired by …

Shock filters are based in the idea to apply locally either a dilation or an erosion process,
depending on whether the pixel belongs to the influence zone of a maximum or a minimum …

Publisher Summary Multichannel image regularization is a fundamental process in many
image processing and computer vision algorithms. It is necessary to gain full control of this …

We present a preconditioned method for blind image deconvolution. This method uses a pre-
processed reference image (via the shock filter) as an initial condition for total variation …

Purpose.: We evaluated layer-by-layer retinal thickness in spectral-domain optical
coherence tomography (SD-OCT), determined by automated segmentation analysis (ASA) …

While molecular visualization software has advanced over the years, today, most tools still
operate on individual molecular structures with limited facility to manipulate large …