1) Adaptive Histogram Equalization (since Histogram is already implemented)
2) Canny Edge Detection, Contour Extraction
3) Hough transform
4) Gabor filter
5) Deconvolution
6) Otsu Thresholding method
7) Dithering (Floyd - Steinberg)
8) Un - implemented filters (HOG, LOG etc.)
9) Fingerprint (i.e Biometric) Detection.
I feel that this project is doable within the summer period and that it can be a great addition to the Haskell organization since firstly, It would expand the scope of the library and increase the user base of Haskell and secondly, no other functional programming languages (including Clojure, Elm etc.) have a decent image processing library and hence it can be a very good chance for Haskell to be an obvious choice of developers looking forward to implement Computer vision problems with some functional programming language. I have had an discussion with Alexey and Jared sir and they seem to agree that this project can be a really good addition for our Haskell organization.
Also, for my technical skills : I do possess the required programming skills (C++, OpenCV, Python, Haskell (Basics), Tensorflow, Keras (CUDA framework), Watson API, Matlab) as well as the exposure to open source platforms such as github. Also, I can provide you with my CV if and when you say.
I would be really delighted to know how you feel about this project. Once again, I am very sorry for contacting this late via the mailing lists and would like to sincerely request you to go through the project that I am suggesting and kindly provide your valuable opinions on the same.
I will happily provide you with further clarifications on the project if you need any.
Looking forward to hear from you.