Greyscale Image Colorization - Excercise
Budget: €30 – €250 EUR
Implement the necessary algorithmic procedures for the automatic coloring of a black and white image.
(pick a grey image you like most)
Specifically, you need to develop code in a Matlab or Python environment to perform the following computing activities:
i. Images Representation in the Color Lab Space
ii. Discretization of the Lab Color Space based on a set of related training images.
iii. Images Partitioning into Superpixels according to the SLIC algorithm.
iv. Export Texture Features (SURF Features & Gabor Features) per Super Pixel.
v. Learning Local Color Prediction Models Using SVM Classifiers
Predict color of a greyscale image.
(pick a grey image you like most)
Specifically, you need to develop code in a Matlab or Python environment to perform the following computing activities:
i. Images Representation in the Color Lab Space
ii. Discretization of the Lab Color Space based on a set of related training images.
iii. Images Partitioning into Superpixels according to the SLIC algorithm.
iv. Export Texture Features (SURF Features & Gabor Features) per Super Pixel.
v. Learning Local Color Prediction Models Using SVM Classifiers
Predict color of a greyscale image.