Automated Image Colorization Using Deep Learning

[UppuluriKalyani]

Automated Image Colorization Using Deep Learning

Description:

This project aims to develop an automated image colorization model that can take black-and-white images and transform them into colorized versions using deep learning. The system will use convolutional neural networks (CNNs) and generative adversarial networks (GANs) to predict and apply colors to grayscale images in a realistic manner. This can be applied to colorize old photographs, movies, or even modern images for creative effects.

Key Features:

• Convert grayscale images into color images.
• Use deep learning models such as CNNs and GANs for color prediction.
• Automatically predict color tones, shades, and intensity based on context.
• Support for high-resolution image colorization.

Tasks:

• [ ] Build a dataset of black-and-white and corresponding colored images.
• [ ] Preprocess images for feeding into a neural network.
• [ ] Train a CNN or GAN model for learning patterns in colorization.
• [ ] Implement the colorization process and optimize the model for accuracy and speed.
• [ ] Test the model on various types of images (portraits, landscapes, etc.).

Technology Stack:

• Python
• TensorFlow / PyTorch
• OpenCV for image processing
• Keras for model building

Expected Output:

A system that can take a black-and-white image as input and output a fully colorized version with realistic and context-appropriate colors.

[fah-04]

can you assign this to me? i shall try my best

[UppuluriKalyani]

@fah-04 Proceed

[fah-04]

I have successfully created the model as and saved as a repo in mine. I'm not sure how to contribute it, as its my 1st time contributing. do help @UppuluriKalyani 🙏🙏

[UppuluriKalyani]

@fah-04 connect with me through LinkedIn https://www.linkedin.com/in/kalyani-uppuluri-522419257/