This chapter gave you a rather detailed tool of two-dimensional filtering in MATLAB. The basic mathematic ideas behind image filtering were explained and practical examples were given. You got to see various techniques for using two-dimensional filtering in everyday problems such as removing noise from images, or enhancing areas that are blurred. You also learned some artistic effects caused by image filtering and practiced on ways to use them in your images. More specifically, this chapter covered:
imfilter
for performing image filteringfspecial
, for image filtering usageIn the next chapter, we will get to discuss exciting and practical examples about artistic and scientific implementations of image processing. We will work on examples of multispectral images, panoramas, and HDR images. We will also discuss other artistic effects by mixing some of the techniques you've learnt so far. All our examples will be accompanied by hands-on tasks, as always.