Computational photography is a relatively new field at the convergence of
photography, computer vision, image processing, and computer graphics. Its
goal is to overcome the limitations of traditional photography using
computational techniques to enhance the way we capture, manipulate, and
interact with visual media. This course covers fundamentals and applications
of hardware and software techniques, with an emphasis on software methods. We
will study many interesting, recent image based algorithms and implement them
to the degree that is possible.
We will cover topics such as
* Cameras and image formation
* Image stitching / completion / inpainting
* Texture synthesis, super-resolution, denoising.
* Light fields
* Image based lighting and rendering
* High dynamic range
* Intrinsic Images
* Coded aperture photography
* Modeling and synthesis using Internet data
* ... more interesting topics.
**Previous years**
**<http://franchomelendez.com/index.php/computational-photography/>**
**References and sites of interest**
[Computational Photography
Book](http://www.amazon.com/gp/product/1568813139?ie=UTF8&tag=merl-20&linkCode=as2&camp=1789&creative=9325&creativeASIN=1568813139
"Computational Photography Book")
<http://store.elsevier.com/product.jsp?isbn=9780123749147>
<http://web.media.mit.edu/~raskar/photo/>
<http://web.media.mit.edu/~gordonw/CompressiveLightFieldPhotography/>
<http://www.pauldebevec.com/Research/LS/>
<http://www.amazon.com/Color-Imaging-Fundamentals-Erik-Reinhard/dp/1568813449>
**Requirements:**
C++ and Basic Algebra. Computer Graphics and Image Processing will be useful.
**Note**
No exam. The subject will be evaluated with Labs.
