Video Stabilization for High-Quality Medical Video Compression

Author(s):  
D. Raveena Judie Dolly ◽  
D. J. Jagannath ◽  
J. Dinesh Peter
2016 ◽  
Vol 1 (2) ◽  
pp. 14-18
Author(s):  
Srishty Suman ◽  
Utkarsh Rastogi ◽  
Rajat Tiwari

Image stitching is the process of combining two or more images of the same scene as a single larger image. Image stitching is needed in many applications like video stabilization, video summarization, video compression, panorama creation. The effectiveness of image stitching depends on the overlap removal, matching of the intensity of images, the techniques used for blending the image. In this paper, the various techniques devised earlier for the image stitching and their applications in the relative places has been reviewed.


Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
Yu. I. Katkov ◽  
◽  
O. S. Zvenigorodsky ◽  
O. V. Zinchenko ◽  
V. V. Onyshchenko ◽  
...  

The article is devoted to the topical issue of finding new effective and improving existing widespread compression methods in order to reduce computational complexity and improve the quality of image-renewable image compression images, is important for the introduction of cloud technologies. The article presents a problem To increase the efficiency of cloud storage, it is necessary to determine methods for reducing the information redundancy of digital images by fractal compression of video content, to make recommendations on the possibilities of applying these methods to solve various practical problems. The necessity of storing high-quality video information in new HDTV formats 2k, 4k, 8k in cloud storage to meet the existing needs of users has been substantiated. It is shown that when processing and transmitting high quality video information there is a problem of reducing the redundancy of video data (image compression) provided that the desired image quality is preserved, restored by the user. It has been shown that in cloud storage the emergence of such a problem is historically due to the contradiction between consumer requirements for image quality and the necessary volumes and ways to reduce redundancy of video data, which are transmitted over communication channels and processed in data center servers. The solution to this problem is traditionally rooted in the search for effective technologies for compressing, archiving and compressing video information. An analysis of video compression methods and digital video compression technology has been performed, which reduces the amount of data used to represent the video stream. Approaches to image compression in cloud storage under conditions of preservation or a slight reduction in the amount of data that provide the user with the specified quality of the restored image are shown. Classification of special compression methods without loss and with information loss is provided. Based on the analysis, it is concluded that it is advisable to use special methods of compression with loss of information to store high quality video information in the new formats HDTV 2k, 4k, 8k in cloud storage. The application of video image processing and their encoding and compression on the basis of fractal image compression is substantiated. Recommendations for the implementation of these methods are given.


1993 ◽  
Author(s):  
Ashok K. Rao ◽  
K. Yang ◽  
Sanjai Bhargava ◽  
Kou-Hu Tzou

2019 ◽  
Vol 11 (12) ◽  
pp. 1617-1632
Author(s):  
H. Loukil ◽  
M. Abbas ◽  
Ali Algahtani ◽  
A. Kessentini ◽  
P. Muneer ◽  
...  

High-Efficiency Video Coding (HEVC) is a standard that has been developed by a collaboration of the International Telecommunication Union (ITU) with Moving Picture Experts Group of International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). The standard, by and large, is achieving substantial spatial versatility and enhanced video compression. HEVC is a spatial coding method for video that reduces the size and number of images in it, allowing for great versatility. This allows for new benchmark for creating high-quality video encoders, as well as high-quality video streams while retaining lower bit rates. This article outlines the most recent video compression model identified as the H.26x family, including its most recent standard, H.265, also known as HEVC. In this work, we also propose the possibility of using nanotechnology to increase the efficiency of video compression process with very little loss. We also studied the possibility of using Spherical Piezo Acoustic Transducers instead of the traditional Context-based Adaptive Binary Arithmetic Coding. Finally, a nano-scale transducer was fabricated with a lossless infinite plate and a lossless waveguide, which has the ability to resist fracture due to a low von Mises stress along its surface.


2011 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Marcelo Lubaszewski ◽  
Marcelo Antonio Pavanello

This issue of the Journal of Integrated Circuits and Systems (JICS) features a very broad content, including papers on RF, AMS and digital design, presenting low voltage, low power and low noise solutions, improving the circuit robustness against attacks, proposing new approaches for video compression and dealing with reconfigurability, SAT solvers and energy harvesting. Six of these papers have been selected from the presentations given at SBCCI2010 (23rd Symposium on Integrated Circuits and Systems Design), which has been held in São Paulo, Brazil in 2010. Among the contributions presented at the Symposium, only a few best rated were selected by the JICS Editorial Board and have been invited to submit an extended version to the Journal. These papers have been reviewed by external experts and have been accepted for the special section on best SBCCI2010 papers. In addition to the best papers presented at the conference, three spontaneous submissions passed through the usual reviewing process and have been accepted as regular papers. We would like to thank the authors for their effort in preparing these high quality papers, as well as the reviewers for their help on paper selection, which guarantees the scientific level of this issue.We sincerely hope that JICS readers will enjoy these contributions. Marcelo Lubaszewski - JICS Editor-in-chief Marcelo Pavanello - JICS Co-Editor


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 25157-25166 ◽  
Author(s):  
Zhongqiang Wang ◽  
Lei Zhang ◽  
Hua Huang

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