A comparative preprocessing study for softcast video transmission

Anthony Trioux (1, 2) , François-Xavier Coudoux (3, 2) , Patrick Corlay (3, 2) , M Gharbi (3, 2, 4)

1 IEMN-DOAE - Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520
2 COMNUM - IEMN - COMmunications NUMériques - IEMN
3 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520
4 INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France

An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems such as cliff effect. In this paper, we first review the SoftCast scheme. We then analyze and compare two simple preprocessing methods that help to increase the quality at the receiver side. Each method consists of the subtraction of either the 8-bit mean gray level 128 or the mean value of all pixels for each video frame. Preprocessing methods are compared and evaluated under different channel signal-to-noise ratios using two metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM). Simulation results clearly highlight the importance of the preprocessing block in a SoftCast wireless video transmission scheme. Depending on the video input characteristics, an improvement of the PSNR score up to 2.1dB and 2.5dB can be observed for the average gray level method and for the mean frame method, respectively.

Mots clés: Bandwidth; Metadata; Wireless communication; Receivers; Video recording; Quality assessment; Discrete cosine transforms

Domaines: Sciences de l'ingénieur [physics]; Informatique [cs]; Intelligence artificielle [cs.AI]; Réseaux et télécommunications [cs.NI]; Traitement du signal et de l'image [eess.SP]; Electronique

Anthony Trioux, François-Xavier Coudoux, Patrick Corlay, M Gharbi. A comparative preprocessing study for softcast video transmission. 2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC), Nov 2018, Rabat, Morocco. pp.54-59, ⟨10.1109/ISIVC.2018.8709171⟩. ⟨hal-03335982⟩