Study On Evolution in Image Processing Using Deep Learning

  • Neha Thakre Assistant Professor, Dept. of Computer Science, BGIEM, RGPV University, Madhya Pradesh, India
  • Nidhi Pateriya Assistant Professor, Dept. of Computer Science, BGIEM, RGPV University, Madhya Pradesh, India
  • Kuldeep Soni Assistant Professor, Dept. of Computer Science, BGIEM, RGPV University, Madhya Pradesh, India
Keywords: artificial intelligence; deep learning; reinforcement learning; image processing.

Abstract

The amount of data we create and use is going to be huge, around 180 zettabytes by 2025, causing big challenges for companies and society. The data is not only getting bigger but also more complicated, making it harder to understand and process. In the last 20 years, tools for studying this data, called data science tools, have become really popular because they are good at handling complex information with high accuracy. Dealing with pictures is even tougher because as pictures get better, there's more data to handle. While traditional ways of teaching computers (machine learning) are still used a lot, scientists are excited about new ways using artificial intelligence (AI), especially neural networks, to understand and work with images. Our study looked at how AI is getting better and how we can make it work even more efficiently with pictures. Even though we've made progress, there are still many challenges ahead. We talk about the recent improvements and suggest what future research could look like in this rapidly changing field.
Published
2024-03-25