Image Orientation Correction A Review

Authors

  • Sandesh Verma, Dr. Namita Tiwari , Dr.Meenu Chawla , Vishal Singh Bhati

Keywords:

Review, Image orientation, Deep learning, convolution neural networks

Abstract

Image orientation task is easy if seen from the human perception but when it comes to machines it becomes a challenging task to correctly predict the correct orientation of the image. Prior works on this topic dealt with handcrafted techniques for image orientation correction but with the advent of new deep learning techniques the task of orientation correction is fast gaining pace with possessing capabilities to not only make the process fast but also to automate it. This paper focuses on bringing up a review of major advancement in the techniques that have taken over time. This paper will be helpful and insightful for researchers, especially for beginners who want to understand the basics and have the overview of the techniques of image orientation correction at a single place.

References

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How to Cite

Sandesh Verma, Dr. Namita Tiwari , Dr.Meenu Chawla , Vishal Singh Bhati. (2023). Image Orientation Correction A Review. International Journal of Research & Technology, 11(1), 16–20. Retrieved from https://ijrt.org/j/article/view/247

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