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Different level of compression on real-time video streaming has successfully reduced the storage space complexities and bandwidth constraints in the recent times. To design and develop a novel concept towards the enhancement of perceptual quality of a real-time video ultra HD frames. Video compression is one of the important applications in data compression on its image. Image data requires huge amount of disk space and large bandwidths for transmission. Hence, Video compression is necessary to reduce the amount of data required to represent digital image .Discrete Wavelet Transform (DWT) based image compression has been paid much attention in the past decades. DWT has been adopted as a new technical standard for still image compression. Set Partitioning in Hierarchical Trees (SPIHT) is the DWT-based image compression algorithm which is more powerful, efficient and more popular, due to the properties of fast computation, low memory requirement. Discrete wavelet transform (DWT) based Set Partitioning in Hierarchical Trees (SPIHT) algorithm is widely used in many image compression systems. The experimental outcomes also show that the proposed protocol achieves better performance ratio.

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Mr. K.Santhakumar, R.S.Indujaa, AN.Ramalakshmi, T.Velmurugan, & T.Velmurugan. (2019). Rate-distortion optimization of HEVC using Lagrangian multiplier . International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 1396–1400. Retrieved from