8. Spatial domain filtering, part I

Filtering is a technique for modifying or enhancing an image. Spatial domain operation or filtering (the processed value for the current pixel processed value for the current pixel depends on both itself and surrounding pixels). Hence Filtering is a neighborhood operation, in which the value of any given pixel in the output image is determined by applying some algorithm to the values of the pixels in the neighborhood of the corresponding input pixel. A pixel’s neighborhood is some set of pixels, defined by their locations relative to that pixel. 

In this lecture we will talk about spatial domain operations. Mask or filters will be defined. The general process of convolution and correlation will be introduced via an example. Also smoothing linear filters such as box and weighted average filters will be introduced.

http://www.uttv.ee/naita?id=20143 

http://youtu.be/BrHEQwX29xg?list=UU-ETlxdihAaw8Pn6_Zz10lg