Mar 21, 2019
AMAZING COURSE.\n\nTAKES YOU THROUGH EVERY TOPIC IN IMAGE PROCESSING.\n\nTHIS COURSE GREATLY HELPED ME WITH UNIVERSITY STUDIES AS WELL,\n\nTHANK YOU NORTHWESTERN UNIVERSITY AND PROFESSOR AGGELOS K.
Oct 07, 2018
This course is much simpler and easier to understand for those who wanna get and set their goals towards the image engineering field. Really enjoy much doing this course. THank you everyone !!!
автор: Keita Y•
Oct 07, 2019
Broad topics in image and video processing are covered and it was very useful to grasp what kind of techniques are being used in this field. Although most of the subjects were presented in a very comprehensive manner, some contents (maybe advanced ones) still have rooms for improvement.
For the home work assignments, most of the programming problems were too easy (the one in week 12 was challenging, so other weeks could have had problems with equal difficulty.) Also, some problems' statement seemed somewhat ambiguous. If read carefully, the meaning is clear, but since people from all over the globe are taking the course, it might be helpful if they were written in more clear way.
Lastly, maybe because the course was uploaded several years ago, the activity of the forum was very low, which spoiled one of the benefit of using MOOC.
автор: Akshay B•
Jul 15, 2017
The course content is great. The professor has delivered the material in a simple and straight forward way. There are many results which we can utilize straight away and experiment with. The only drawback was that the quizzes were theoretical,with just one problem dedicated to programming. To get more benefits out of this course certainly we have to do some extra reading Nevertheless it was a great introductory course. Will surely recommend it to others.
автор: Gaoyang F•
Aug 17, 2020
I think week 3 is the most important topic in image/video signal processing and the maths is really important here. I would say that despite image recovery is taught in 2 weeks, the focus is bit lost and touched too many topics without going deeper for a specific one.
I probably would suggest to have Laplacian pyramid and similar stuff just after frequency analysis, it will help student to understand better in later applications.
Mar 15, 2018
Best suited for the beginners. Anyone who has no experience with signal processing except the mathematical representation of any signal can enjoy this course. The programming problems are easy for those who have basic knowledge of the software (MATLAB). Last two modules (Segmentation (week 11), Sparsity (week 12)) are the most exciting ones (for me). Finally, the course lacks the resources for further studies.
автор: Kenneth L•
Aug 30, 2016
Very good overview of theory, specific algorithms, and some practice of application in MATLAB. There's a lot of material to cover and the videos are longer, requiring self-pacing throughout the individual lectures. Some of the weeks are very challenging. Extracurricular study, practice and implementation helped in areas where I had yet to encounter supporting material and/or prerequisites.
автор: Sajad S•
Jul 04, 2018
This course has all basic methods on image processing but has a few examples to demonstrate each of them. So it's rather difficult to understand all the materials.It's necessary to research further on each method. In other words it's better to pass some graduated courses like information theory or digital communication to understand it better.
автор: Arkady S•
Jan 23, 2017
Well worth the time. Topics are clearly explained most of the time. I was getting a bit lost in the math towards the very end (last couple of weeks), but even though details were hazy, I think the general concept was conveyed well. The labs could be a bit more insightful for a few of the weeks but were overall good.
автор: Mandar D•
Feb 28, 2017
Really a great course, with focus on the concepts and mathematics of image processing . More academic type course rather than a hands on one. Less weight given to video processing. I wish there was a bit more programming and practical assignments to accompany this compendium of DSP knowledge .
автор: ShivaKumar V•
May 10, 2018
It was getting tougher as the course went on. As I am an undergrad Student who has just completed my B.E from India, some of the concepts were totally new to me. May be people studying higher courses and undergoing specialization in this subject might understand them. Overall a very good course.
автор: Corrado S•
Jul 15, 2020
The hardest course I took on coursera. Even though I find the course contents very informative, the material was in my opinion insufficient to complete all the assignment with the highest grade. I do not find the course to be self contained. It was anyway great as introduction to the topic.
автор: Jing Y•
Nov 12, 2019
Though some of the parts still require a lot of extracurricular readings, this course is nice and the professor is truly an expert in this area. If you have enough patience and pay efforts to finish it all, it will build a strong foundation for the further study of image processing.
автор: Mithila I•
Feb 23, 2017
Good course, could have provided more examples and more elaboration regarding the fourier transform. Good instructor who is knowledgeable about this field. Might be better to introduce tutorials that go through selected problems step by step. Thanks very much and all the best.
автор: YASIR M M•
Apr 30, 2018
I have enjoyed this course very much because it is part of my specialist in Electronic and Communications Engineering . Regardless of some concepts and equations that did not reach them clearly, But in the end the amount of benefit is great. thank you
автор: Mudireddy A R•
Oct 27, 2016
The Course is very informative and definitely a good basic course to image and video processing. However, I felt that linking the course modules with python snippets for examples will help the people who work in the related fieds. Thank you.
автор: Dina B•
Apr 27, 2016
it's a good material and nice professor, but sometimes the material is rather theoretical. Some lessons are very heavy with details and very basic practice excercises. I was missing deeper excercises that cover more of the studied material
автор: Somil J•
Jul 04, 2019
This course is great for getting an overview of Digital Image Processing.
Some more homework coding practice assignment can be added for getting for intuitive learning experience.
Overall it is awesome for a starting point.
автор: Krithika S•
Mar 12, 2018
The course was very thorough and helped us understand various basics that are required for further application in various fields. Clear oration accompanied by the slides kept the course interesting and informative
автор: Peter G•
Jun 11, 2016
Quite allright for an introductory course to image processing! But to really understand the course, one needs to have experience in basic DSP and statistics. Otherwise, many of material won't be as clear.
автор: Shiraz S K•
Jan 30, 2019
Highly relevant and comprehensive, covering important information in the field. Can be improved however by incorporating code using other language libraries besides MATLAB (e.g. Python, etc).
автор: Harsh S•
Aug 31, 2019
Accent was a bit hard to understand for me, I used google to study separate topics and then gave assignments. Helpful as a guide to direct you what all to study in the space.
автор: Vignesh H•
Jul 25, 2017
Wonderful course....The mentor is knowledgable....the only drawback I find is it we dont find the answers to the assignment questions even after passing it.
автор: Altaf K•
Oct 22, 2018
A course which looks hard at first glance but they lecturers made it look so easy and inspired us students to teach us. Thank you for the course.
автор: Kaijun F•
Jun 28, 2019
A lot of materials and useful information, but some part gets a little overwhelming. Would also like to see image registration explained more.
автор: Haotian Z•
Sep 13, 2016
I think the teacher should speak more clearly, he has a strong accent, however, the materials and contents in this lessons are pretty good.
автор: Majd W•
Nov 11, 2016
I cannot understand what the teacher says because of the accent, in the first time I thought it's not a problem but actually I was.