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Subscription Review Article

Advancements in Image Processing Techniques for Computer Vision Applications

by 
   Jayshree Dwivedi,    Pragya Rajput,
Volume :  11 | Issue :  01 | Received :  January 25, 2024 | Accepted :  February 29, 2024 | Published :  April 3, 2024
DOI :  10.37591

[This article belongs to Journal of Image Processing & Pattern Recognition Progress(joipprp)]

Keywords

Image processing, CNN, GANs, machine learning, RNN

Abstract

The fast-developing field of computer vision is transforming how people perceive and comprehend pictures and movies. Autonomous systems, robotics, healthcare, and surveillance are just a few of the many applications that have been made possible by recent significant advances in image and video processing. An overview of current developments in computer vision approaches, algorithms, and techniques for image and video analysis is given in this abstract. In conclusion, the analysis of images and videos has advanced significantly in the field of computer vision. Recurrent neural networks (RNNs) and CNNs are two examples of deep learning approaches that have been used to increase accuracy, robustness, and efficiency in a variety of applications. A richer understanding has resulted from the integration of semantic analysis with temporal and spatial data.

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