Learning computer vision and image processing.
including some projects in the "Digit Image Processing" course.
- 01 - histogram-equalization-pro: some algorithms which based on the histogram equalization.
- 02 - retinex: implement and compare different retinex algorithms, like SSR, MSR, MSRCR etc.
- 03 - haze-night-image-enhancement: implement Dark Channel algorithm to enhance haze and night images.
- 04 - UM-AUM: implement and compare Unsharp Masking and Adaptive Unsharp Masking algorithms.
including some projects from other courses or internet.
- image-alignmnet: This assignment from Coursera "Deep Learning in Computer Vision" course.
- face-alignment: Clearly practice for face alignment.
- edge-detection: Canny edge detection algorithm implement by Python3.
- histogram-equalization: learning histogram equalization.