This project converts black-and-white photographs into color images using a pre-trained deep learning model. The frontend is built with HTML, CSS, and Bootstrap, providing an interface for uploading images and viewing colorized results.
The Python colorization pipeline uses OpenCV’s DNN module to load a pre-trained Caffe model. It processes images in Lab color space, preserving lightness while predicting color information to produce a plausible colorized image.
Tags: Image Colorization, Convolutional Neural Networks (CNN), OpenCV DNN, Pre-trained Caffe Model, Lab Color Space, Image Processing, Python, NumPy, HTML, CSS, Bootstrap,
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