This lecture focused on the topics of image blurring, image sharpening, and edge detection.
Image sharpening attempts to remove noise from an image by blurring its pixels together. The following links provide information about image blurring.
Image sharpening attempts to sharpen an image’s edges to make them stand out more. The following links provide information about image sharpening.
Edge detection attempts to find edges of an image. The following links provide information about edge detection.
· http://apples.ucsd.edu/~teixeira/edge.html overview of edge detection and transformation matrixes given [4]
· http://www.cse.dmu.ac.uk/IRC/IMA/node22.html description of edge detection and ideas of improvements [3]
· http://www.visc.vt.edu/armstrong/ee2984/sobel.html the Sobel edge detection algorithm (in undocumented c) [2]
· http://www.biocomputer.com/Thesis.html a thesis called AN ALTERNATIVE APPROACH TO THE DESIGN OF IMAGE PROCESSING ALGORITHMS, contains LOTS of information including Sobel description and transformation matrixes [5]
A rating appears after each link (in square brackets). The rating indicates the level of content provided by the link. A rating of [1] indicates very little content while a rating of [5] indicates a plethora of content is provided.