DEEP LEARNING – POWERED GRAYSCALE TO COLOR CONVERSION USING OPEN CV

Colorization of grayscale images is a challenging and fascinating problem in computer vision. This project leverages deep learning techniques, specifically convolutional neural networks (CNNs), to automatically convert grayscale images into colorized versions. Utilizing OpenCV and pre-trained deep learning models such as DeOldify or the Colorful Image Colorization model, we achieve high-quality image colorization with minimal user intervention. The model learns color distributions from large datasets and intelligently predicts realistic colors for grayscale images. This approach finds applications in restoring old photographs, enhancing medical imaging, and improving visual aesthetics in various fields.