• Pooja Aravind Palkar
• Aparna Rajaram Patil
• Jagruti Sahebrao Patil
• Rachana Dhanawat

The main objective of this paper is to colorize historic images, which are only in black and white form using concepts of convolutional neural networks in prototxt file to construct our desired model. Colorization requires considerable user intervention and remains a boring, sluggish, and extortionate task. So, in this paper we have proposed a model to colorize the black and white images automatically by using CNN algorithm in Deep learning where we have used all 4 layers of CNN which are not used in existing papers, which resulted into 13.75% better output than deep hybrid model [4]. This layers will be written in prototxt file. In the existing papers, they only talk about images but we have tried our model on live feed taken from webcam and give the colourful live feed on the otherside, but it doesn’t give good output.

deep learning, Python Imaging Library(PIL), CNN (convolutional neural networks), opencv.

"Colorization of Black and White Images using Deep Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.c56-c59, May-2022, Available :http://www.jetir.org/papers/JETIR2205309.pdf

"Colorization of Black and White Images using Deep Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppc56-c59, May-2022, Available at : http://www.jetir.org/papers/JETIR2205309.pdf