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Skalabilitas Signal to Noise Ratio (SNR) pada Pengkodean Video dengan Derau Gaussian Agus Purwadi
Jurnal Rekayasa Elektrika Vol 11, No 3 (2015)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v11i3.2243

Abstract

In video transmission, there is a possibility of packet lost an d a large load variation on the bandwidth. These are the source of network congestion, which can interfere the communication data rate. This study discusses a system to overcome the congestion with Signal-to-noise ratio (SNR) scalability-based approach, for the video sequence encoding method into two layers, which is a solution to decrease encoding mode for each packet and channel coding rate. The goal is to minimize any distortion from the source to the destination. The coding system used is a video coding standards that is MPEG-2 or H.263 with SNR scalability. The algorithm used for motion compensation, temporal redundancy and spatial redundancy is the Discrete Cosine Transform (DCT) and quantization. The transmission error is simulated by adding Gaussian noise (error) on motion vectors. From the simulation results, the SNR and Peak Signal to Noise Ratio (PSNR) in the noisy video frames decline with averages of 3dB and 4dB respectively.
EVALUASI PENGIRIMAN VIDEO MENGGUNAKAN PENGKODEAN SKALABILITAS SPASIAL DENGAN GANGGUAN PADA KANAL INTERNET Agus Purwadi; Baharuddin Baharuddin
Jurnal Informatika Polinema Vol. 4 No. 1 (2017): Vol 4 No 1 (2017)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v4i1.140

Abstract

Video transmission over the internet can be a great possibility of the existence of lost packets (packet loss) and load variations in a large bandwidth. This is a source of network congestion can interfere with the rate of data communication. In this paper the proposed planning optimal error control in scalable video transmission to a video coding technique FGS (Fine Granularity Scalability), which is an improvement on the MPEG-4 video coding, which has outputs are scalable base layer and layer Enhanchement that have different sizes and rates, which the application will be adapted to the transmission network conditions, the ultimate goal is to minimize any distortion from the source to the destination. In the simulation yields a value Peak Signal to Noise Ratio (PSNR) on the base layer of 29, 683 dB and 78,917 dB enhancemenet layer and the base layer for the MSE of 69,998 dB and 0,000834417 dB enhancemenet layer, Means Square Error (MSE) as the performance of the network system performance on video quality for both the base layer and layer Enhanchement.