'Image prior' presentation slideshows

Chapter 7 Case Study 1: Image Deconvolution

Chapter 7 Case Study 1: Image Deconvolution. Different Types of Image Blur. Defocus blur --- Depth of field effects Scene motion --- Objects in the scene moving Camera shake --- User moving hands. Image formation model: Convolution. Blind vs. non-blind deconvolution.

364 views • 20 slides

Image Denoising via Learned Dictionaries and Sparse Representations

211 views • 20 slides

Patch-based Image Interpolation: Algorithms and Applications

Patch-based Image Interpolation: Algorithms and Applications. Xin Li Lane Dept. of CSEE West Virginia University. Where Does Patch Come from?. Neuroscience: receptive fields of neighboring cells in human vision system have severe overlapping

270 views • 15 slides

Clinical applications of diffusionweighted magnetic resonance imaging

Based on Brownian motion, diffusion statement of proton hydro inside body is one of the most important variables affected on the diagnosis, treatment planning, and disease response to treatment. There are some different kinds of diffusion-weighted magnetic resonance imaging types such as diffusion-weighted imaging, diffusion tensor imaging, diffusion kurtosis imaging, intravoxel incoherent motion imaging, zoom diffusion imaging, and diffusion spectrum imaging. In this short communication, we aimed to introduce clinical applications of these diffusion-weighted magnetic resonance imaging types.

91 views • 6 slides

A Sampled Texture Prior for Image Super-Resolution

Text truth. Text low-res. Text training image. Brick truth. Brick low-res. Central pixel. Brick training image. Beads truth. Beads low-res. Beads training image. Number of images. Sample texture. Original image. Noise (grey levels). ? = 0.01. ? = 0.04. Number of images. 5. 5. 10.

112 views • 1 slides