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This is course project from ELEC4622-Multimedia Signal Processing (2016-s2). May need some configuration on your VS and not guarantee successfully compilable but a work reference for your work.
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There are three mini projects (or tasks) all coded in c/c++. If u r student from UNSW, u might get project descriptions. Requirement of the projects may change from year to year.
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I'll simply just copy tasks for each project here and leave theory fot later, or if you urgently need the whole theories, just feel free to contact me.
#Project1 - reduction and expansion:
- Reducing the size of an image by a factor of 5/3 in each direction - i.e., zoom-out.
- Increasing the size of an image by a factor of 5/3 in each direction - i.e., zoom-in.
#Project2 - texture
- build up a texture estimation program step by step, using windowed DFT's (optionally FFT's) and averaging.
#Project3 - morphological
- convert grey-scale images into bi-level images, based on a user-de ned threshold. This generally produces an image which contains undesirable noise artefacts, in the form of holes and unwanted speckle. You will then implement a mor- phological opening filter and (for bonus marks) a morphological closing lter, in order to experiment with their impact on the bi-level thresholded image.