“Digital Image Processing” course is also similar the to the above courses, therefore it is difficult to define the contents of these courses. Can anyone help to provide the course contents/outlines of the above two mentioned courses with lecture notes and relative material if possible?
Good afternoon Muhammad, I think that Digital Image Processing is a big topic, In my opinion you have to define the contents according to a criteria,for example which contents are difficult and can be consider as an advance knowledge in image processing field, and according the same criteria which are special contents. For example for advanced course you can teach convolution effects, image analysis in frequency domain and spatial domain.
Adding to Ramon's good answer. The "advance topics in digital image processing" can be considered as the difficult knowledge in image processing field.
The 'special topics in digital image processing' can be considered as some specific topic. To my understand, in this course, you can include some selected topic with some specific examples rather than the general and brief introduction covering most of digital image processing topic in 'digital image processing' course. In 'special topics' course, only several specific problems are enough.
In sum, 'special topic in DIP' means only several specific problems, but the thorough discussion for each problem is important, such as experiment and project; While for 'DIP' course, the content can be general, the comprehension of the global view is important.
Good Morning Sharif, From my knowledge in image processing field, i can add here i.e., the advance topics in Image Processing can be considered as super resolution, subpixel mapping and spatial data analysis concepts can be included. coming to special topics in digital image processing, can be considered as some specific applications on Satellite images like hyperspectral dataset and multispectral with high resolution images and in this course, you can also include some selected applications with specific examples.
Hi Sharif
In my view , DIP , advanced topics in DIP and selected topics in IP should be or can be structured in such a way that they do not look similar. For ex DIP should be for beginners with no knowledge of 2D signal processing but with some basic ideas of 1D digital signal processing. It should cover the first few chapters of book by Gonzalez , Woods and also fist few chapters of Anil K Jain ( I assume that you know the names of these books as they are famous!).
Advanced topics in DIP should cover last few chapters of Gonzalez , Woods ; for instance . It should have advanced contents only which build on the concepts learnt in DIP courseware. e.g. It can have segmentation , object recognition /classification , color image processing , compression , multiresolution etc just as an example.
Special topics in IP should be case study based and should cover only special topics/recent topics without giving any basics assuming that they are covered. This course should be targeted towards researchers who had taken DIP etc. It can have ,for example, sparse image processing case studies, Kinect based image processing , medical imaging case studies , watermarking , image forensics , steganography to name a few.
I hope that helps.
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