Browsing University of Waterloo by Subject "Image Denoising"
Now showing items 1-3 of 3
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Mixture of Latent Variable Models for Remotely Sensed Image Processing
(University of Waterloo, 2014-07-22)The processing of remotely sensed data is innately an inverse problem where properties of spatial processes are inferred from the observations based on a generative model. Meaningful data inversion relies on well-defined ... -
SSIM-Inspired Quality Assessment, Compression, and Processing for Visual Communications
(University of Waterloo, 2013-08-29)Objective Image and Video Quality Assessment (I/VQA) measures predict image/video quality as perceived by human beings - the ultimate consumers of visual data. Existing research in the area is mainly limited to benchmarking ... -
Variable Splitting as a Key to Efficient Image Reconstruction
(University of Waterloo, 2012-09-25)The problem of reconstruction of digital images from their degraded measurements has always been a problem of central importance in numerous applications of imaging sciences. In real life, acquired imaging data is typically ...