Robust Video Compression System for Onboard Space Application
Sabin S Sabu1, Sandhya L2, Subha Varier G3
1Sabin S Sabu, M.Tech Scholar, Department of Electronics and Communication Engineering, Sree Chitra Thirunal College of Engineering, Kerala, India.
2Sandhya L, Assistant Professor, Department of Electronics and Communication Engineering, Sree Chitra Thirunal College of Engineering, Kerala, India.
3Subha Varier G, Scientist/Engineer, Vikram Sarabhai Space Center/ ISRO, Trivandrum. Kerala, India.
Manuscript received on 13 June 2016 | Revised Manuscript received on 20 June 2016 | Manuscript Published on 30 June 2016 | PP: 166-169 | Volume-5 Issue-5, June 2016 | Retrieval Number: E4645065516/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: To efficiently transmit the huge volume of data captured during the stage separation of a spacecraft system, it is very necessary and important to find out efficient and advanced video compression techniques. In space missions, the available bandwidth for video transmission and power are critical parameters under consideration. Commercially available video compression techniques generally fail to meet the constrained power and bandwidth requirement of the space missions. This anticipates the need for better compression tools which suits the demands of onboard systems in terms of higher compression efficiency and lesser computational time. In this paper, we propose to develop an entropy based video compression approach based on H.264 standard which tends to exploit the pertinent temporal and spatial redundancy in video frames. The most time consuming part of H.264 encoder is the inter prediction stage. Here we compared four types of search algorithm for inter prediction in terms of PSNR time and chooses the best search algorithm for our proposed system.
Keywords: H.264, Compression Efficiency, Inter Prediction, PSNR, Temporal Redundancy
Scope of the Article: Application of WSN in IoT