How does video stabilization work

Tico, S. Alenius, M. Auberger, C. Fischler, R. MathSciNet Google Scholar. Paik, Y. Park, D. Tico, M. Matsushita, E. Ofek, G. Weina, T. Xiaoou, S. Niskanen, O. Silven, M. Engelsberg, G. Razligh, N. Chan, C. You, M. Jia, J. Action Camera. EK Series. V50 Series. Brave Series. Brave 4 Pro New. EK Series Comparison. V50 Series Comparison. Brave Series Comparison. Anti-UV Beach Tent. Pop-up Beach Tent. Beach Canopy.

Water Sports. A1 Snorkel Mask. Swimming Pool. Beach Towel. Yoga Pants. Running Socks. Men's Cycling Shorts. Women's Bike Shorts. Cycling Gloves. Full Finger Bike Gloves. Kids Helmet. Halloween Sale. What Is Image Stabilization in Camera? So, photographers can shoot in low light even without a tripod- It is certain that the information above has given great insight into why you need image stabilization and how important it is.

How Does Image Stabilization Work? Image Stabilization Techniques There are two kinds of image stabilization techniques - electronic image stabilization AKA digital image stabilization and optical image stabilization. Optical Image Stabilization This type of stabilization happens in the process of shooting or capturing, not after. How Optical Image Stabilization Works? The OIS is not limited by range. Cons 1. It is more expensive. How Electronic Image Stabilization Works The camera software senses the shakes and shifts, and then it refocuses the frame to catch it.

It requires frame cropping. Conclusion Finally, all the above information has certainly provided you with answers to the question, what is image stabilization in the camera. Share to:. Please log in to reply. Are you sure you want to delete this reply? Amount of pixels hold through our method is superior than the state-of-the-art approach. Video 3. Amount of pixels hold through our method is comparable to the state-of-the-art approach. Video Amount of pixels hold through our method is inferior than the state-of-the-art approach.

In Fig. The difference is not considerably large, and the advantage or disadvantage obtained follows these proportions in most videos. On the other hand, there is a larger amount of information held on the left and right sides. Figure 9 illustrates a situation where our method maintains less pixels. Lower amount of information is held on the every sides with our method. From Table 4 , we can observe a certain parity for both methods in terms of ITF metric, with a slight advantage of the YouTube method [ 24 ], while the maintained pixels are in general comparable and, when lower, do not differ much.

This demonstrates that the proposed method is competitive with one of the methods considered as current state-of-the-art, despite the simplicity of our method. Notwithstanding, the method still needs to be further extended to deal with some adverse situations, such as the treatment of non-rigid oscillations in the video 10, the rolling shutter in the video 12, and the parallax effect, among others.

In this work, we presented a technique for video stabilization based on an adaptive Gaussian filter to smooth the camera trajectory in order to remove undesired oscillations. The approaches achieved comparable values for the ITF metric while maintaining a significantly higher amount of pixels.

A comparison was performed with the stabilization method used in YouTube, where the results were competitive. As directions for future work, we intend to extend our method to deal with some adverse situations, such as non-rigid oscillations and effect of parallax.

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Image Underst. Download references. Institute of Computing, University of Campinas, Av. Albert Einstein , Campinas, Brazil. You can also search for this author in PubMed Google Scholar. HP and MRS contributed equally to this work. Both authors carried out the in-depth analysis of the experimental results and checked the correctness of the evaluation.

Both authors took part in the writing and proof reading of the final version of the paper. Both authors read and approved the final manuscript. Correspondence to Helio Pedrini. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Reprints and Permissions. Souza, M. Digital video stabilization based on adaptive camera trajectory smoothing. J Image Video Proc. Download citation. Received : 28 November Accepted : 15 May Published : 30 May Anyone you share the following link with will be able to read this content:.

Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative. Skip to main content. Search all SpringerOpen articles Search. Download PDF. Abstract The development of multimedia equipments has allowed a significant growth in the production of videos through professional and amateur cameras, smartphones, and other mobile devices.