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Super-resolution methods
Supreme is a free software library that performs automated super-resolution imaging.
ANN: Image Processing SciKit - scikits-image | Google Groups
"After a short sprint at SciPy 2009, we've put together the
infrastructure for an Image Processing SciKit. The source code [1]
and documentatin [2] is available online. WIth the infrastructure in
place, the next focus will be on getting contributions (listed at [3])
merged.
If you have code for generally useful image processing algorithms
available, please consider contributing. Feel free to join further
discussions on the scikit mailing list [4]"
MIT OpenCourseWare | Media Arts and Sciences | MAS.963 Special Topics: Computational Camera and Photography, Fall 2008 | Home
In this course we will study this emerging multi-disciplinary field at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded — beyond those present in traditional photographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized.
[0905.2924] Colorization of Natural Images via L1 Optimization
They claim better results than the already awesome algorithm of Levin et al. Convexifying the problem through l1 optimization
The ImageMath Module
Faster whole-image operations on PIL: """(New in 1.1.6) The ImageMath module can be used to evaluate “image expressions”. The module provides a single eval function, which takes an expression string and one or more images."""
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