This an implementation of Undercomplete Autoencoder which is used for converting an RGB image to an GRAY scale image. The autoencoder is implemented using the TensorFlow framework in Python. Packages ...

Restoring model and feeding testing image numpy array and saving converted grayscale to generated Directory “generated_images”. Approach: Autoencoders is used as neural net because they designed in ...

In this paper, we propose grayscale-assisted RGB image restoration from NIR images to recover luminance and chrominance information in two stages. We address the complex NIR-to-RGB conversion ...

Researchers from Beijing Institute of Technology introduce a novel two-stage method for converting monochromatic near-infrared (NIR) images into high-quality RGB images. In the first stage ...