Loading

Simulation and Performance Enhancement of High Efficiency Video Coding Standard for Video Compression
Kavita Monpara1, Bhavin Sedani2, Ved Vyas Dwivedi3

1Ms. Kavita Monpara, Electronics and Communication department, C.U.Shah University, Wadhwan , India.
2Dr. Bhavin Sedani, Electronics and Communication department, L.D. Engineering College, Ahmedabad, India.
3Dr. Ved Vyas Dwivedi, Electronics and Communication department, C.U. Shah University, Wadhwan, India.
Manuscript received on 22 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 4311-4315 | Volume-8 Issue-11, September 2019. | Retrieval Number: J11080881019/2019©BEIESP | DOI: 10.35940/ijitee.J1108.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: In the era of modern communication, the transmission of video is the most demanded feature and that makes the bandwidth issues crucial. The only solution to fight with is the video compression techniques/ standards. The High efficiency video coding standard(H.265/ HEVC) is newly evolved standard that is popularly used. this standard is better in saving bandwidth giving more compression. This research work deals with narrates the steps of implementation, simulation with MATLAB and the results obtained. from the obtained results, the 4G technique for wireless communication has been obtained in an enhanced way from the compression perspective.
Keywords: Entropy Coding, HEVC, Intra picture prediction; Inter picture prediction; In loop filtering , Integer transform and Quantization , Prediction mode, Video Compression.
Scope of the Article: Standards for IoT Applications