Video quality evaluation using DWT-SPIHT based watermarking technique

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dc.contributor.authorKumar, Rajeev
dc.contributor.authorKumar, Sanjeet
dc.contributor.authorBrar, Sukhreet Singh
dc.date.accessioned2018-07-14T01:19:20Z
dc.date.accessioned2024-08-14T05:05:44Z
dc.date.available2018-07-14T01:19:20Z
dc.date.available2024-08-14T05:05:44Z
dc.date.issued2018
dc.description.abstractThe video quality analysis is very important in today's video broadcasting and transmission quality control because the quality is a key factor in customer satisfaction. This paper presents a full reference based video quality evaluation technique, using the application of watermarking. Frames with low complexity value are selected for the insertion of the watermark, on the selected video frames; DWT is applied up to third level to get the DWT coefficients. Then SPIHT encoding/decoding is applied which helps in finding the significant coefficients for the insertion of watermark. The significant coefficients are converted into bit-planes and 3rd bit plane (from LSB side) of each coefficient is selected for watermark. The SPIHT algorithm ensures that the watermark bits are inserted uniformly throughout the frames. After embedding the watermark, the IDWT is applied and we get the watermarked frames which are then incorporated in the video file. The simulation results show no visible difference between watermarked frame and original frame. The video quality is estimated in terms of peak signal to noise ratio (PSNR), structure similarity (SSIM) and true detection rates (TDR) against various attacks like Salt pepper noise, rotation Gaussian noise and compression attacks. The results indicate that the proposed technique for quality evaluation of the video, accurately calculates the quality of a video and also it is robust against various attacks. ? 2016 IEEE.en_US
dc.identifier.citationKumar, R., Kumar, S., & Brar, S. S. (2018). Video quality evaluation using DWT-SPIHT based watermarking technique. Paper presented at the 11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings.en_US
dc.identifier.doi10.1109/ICIINFS.2016.8262896
dc.identifier.isbnOnline- 978-1-5090-3818-3
dc.identifier.isbnPrint- 978-1-5090-3819-0
dc.identifier.urihttp://10.2.3.109/handle/32116/1512
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectCustomer satisfactionen_US
dc.subjectDiscrete wavelet transformsen_US
dc.subjectGaussian noise (electronic)en_US
dc.subjectImage codingen_US
dc.subjectImage watermarkingen_US
dc.subjectInformation systemsen_US
dc.subjectInformation useen_US
dc.subjectSignal reconstructionen_US
dc.subjectSignal to noise ratioen_US
dc.subjectWatermarkingen_US
dc.subjectDigital image watermarkingen_US
dc.subjectPeak Signal to Noise Ratio (PSNR)en_US
dc.subjectPSNRen_US
dc.subjectSet partitioning in hierarchical treeen_US
dc.subjectStructure similarityen_US
dc.subjectTransmission qualityen_US
dc.subjectWatermarked framesen_US
dc.subjectWatermarking algorithmsen_US
dc.subjectQuality controlen_US
dc.titleVideo quality evaluation using DWT-SPIHT based watermarking techniqueen_US
dc.title.journal11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedingsen_US
dc.typeConference Paperen_US

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