Adding color to black and white video images is a fascinating process that involves the use of advanced techniques. One such technique is AI colorization, which uses machine learning algorithms to analyze the intensity values of the grayscale image and generate corresponding chrominance values. This process is made possible by training a deep learning model on pairs of color images and their grayscale counterparts. Once the model has learned to associate specific intensity values with their respective colors, it can accurately predict the colors for new black and white images.
Another technique for converting black and white video images to color is called colorization, which involves manually adding colors to specific areas of the image. This technique is often used to enhance the look of old family photos or historic images. In recent years, AI-powered tools have made it possible to automate the colorization process, allowing users to quickly and easily add natural, realistic colors to black and white images and videos. These tools use machine learning algorithms to analyze the content of the image and automatically apply colors that are appropriate for the scene. Users can then review and adjust the results to ensure that the colors are accurate and true to the original image. Finally, the colorized image or video can be downloaded and shared with others.