Real-Time Deep Learning Based Image Compression Techniques: Review

The emergence of deep learning techniques has solved many image processing problems using traditional methods. It has provided pioneering solutions, especially in image compression, for the urgent need for storage and transmission. This paper aims to review modern techniques that use image compression using several neural networks and deep learning methods. These networks have shown promising results in complex cognitive tasks by providing high compression ratios while maintaining visual image quality. However, this field lacks further exploration and testing to evaluate the effectiveness of deep learning across different types of images, especially in medical images, which has its own challenges and requirements. Therefore, image compression has become extremely important. In this article, we begin with an overview of the basics of image compression. A brief introduction to the types of networks based on deep learning, then a comprehensive summary of previous literature, and finally, we discuss prospects for image compression methods based on deep learning.