Changes

<Big>'''Computer Vision Student Seminar'''</Big>

<Big>'''Computer Vision Student Seminars'''</Big>

The Computer Vision Student Seminar at the University of Maryland College Park is a student-run series of talks given by [http://www.cfar.umd.edu/cvl/meetthe.html#Graduate current graduate students] for [http://www.cfar.umd.edu/cvl/meetthe.html#Graduate current graduate students].

The Computer Vision Student Seminars at the University of Maryland College Park are a student-run series of talks given by [http://www.cfar.umd.edu/cvl/meetthe.html#Graduate current graduate students] for [http://www.cfar.umd.edu/cvl/meetthe.html#Graduate current graduate students].

==Description==

==Description==

* An hour-long weekly meeting, consisting of one 20-40 minute talk followed by discussion and food.   

* An hour-long weekly meeting, consisting of one 20-40 minute talk followed by discussion and food.   

* The talks are meant to be casual and discussion is encouraged.   

* The talks are meant to be casual and discussion is encouraged.   

* Topics may include current research, past research, general topic presentations, paper summaries and critiques, or anything else beneficial to the computer vision graduate student community.

* Topics may include current research, past research, general topic presentations, paper summaries and critiques, or anything else beneficial to the computer vision graduate student community.

Sparse representation of visual information lies at the foundation of many image processing applications, such as image restoration and compression. It is well known that wavelets provide a very sparse representation for a large class of signals and images. For instance, from a continuous perspective, wavelets can be shown to sparsely represent one-dimensional signals that are smooth away from point discontinuities. Unfortunately, separable wavelet transforms have some limitations in higher dimensions. For this reason, in recent years there has been considerable interest in obtaining directionally-oriented image decompositions. Wavelets with composite dilations offer a general and especially effective framework for the construction of such representations.  In this talk, I will discuss the theory and implementation of several recently introduced multiscale directional transforms. Then, I will present a new general scheme for creating an M-channel directional filter bank. An advantage of an M-channel directional filter bank is that it can project the image directly onto the desired basis. Applications in image denoising, deconvolution and image enhancement will be presented.

Sparse representation of visual information lies at the foundation of many image processing applications, such as image restoration and compression. It is well known that wavelets provide a very sparse representation for a large class of signals and images. For instance, from a continuous perspective, wavelets can be shown to sparsely represent one-dimensional signals that are smooth away from point discontinuities. Unfortunately, separable wavelet transforms have some limitations in higher dimensions. For this reason, in recent years there has been considerable interest in obtaining directionally-oriented image decompositions. Wavelets with composite dilations offer a general and especially effective framework for the construction of such representations.  In this talk, I will discuss the theory and implementation of several recently introduced multiscale directional transforms. Then, I will present a new general scheme for creating an M-channel directional filter bank. An advantage of an M-channel directional filter bank is that it can project the image directly onto the desired basis. Applications in image denoising, deconvolution and image enhancement will be presented.

==Past Semesters==

==Past Semesters==

* [[cvss_summer2011|Schedule Summer 2011]]

* [[cvss_summer2011|Schedule Summer 2011]]