OCTOBER 1, 2008--This 18-lecture series on image processing by Alan Peters at Vanderbilt University School of Engineering gives the reader a working knowledge of the most commonly used methods and procedures for image enhancement and restoration. The emphasis of the series is on practical results. Given an image and an algorithm such as feature enhancement, color correction, sharpening, and warping, the reader should be able to select and implement an appropriate procedure to achieve that goal. Good practical results often depend on an understanding of the mathematics behind the procedures and the ability to write software to implement the mathematics. Thus, there are significant mathematical and computational components to this lecture series. Topics covered include image enhancement by point operations, color correction, the 2-D Fourier transform and convolution, linear spatial filtering, image sampling and rotation, noise reduction, and mathematical morphology. For more information, go to www.archive.org/details/Lectures_on_Image_Processing.

Wed Oct 01 15:21:00 CDT 2008