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\begin{document}

\title{An Optimized Transform and Quantization Scheme for HEVC Intra Lossless
Coding}



\author[1]{Xiaojie Liu}%
\author[2]{Linqi Yan}%
\author[1]{yang zhang}%
\author[2]{Gang Ren}%
\author[1]{Mingdong Zhu}%
\affil[1]{Department of Computer Science and Technology, Henan Institute of Technology, Xinxiang, China}%
\affil[2]{Henan Institute of Technology}%


\vspace{-1em}



  
  \date{May 23, 2024}


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\begin{abstract}
The lossless video coding framework based on HEVC is consisted of
prediction and entropy coding, which directly determine the lossless
coding efficiency. The initial residuals with large absolute values are
directly coded by the lossy coefficient coding techniques in HEVC, which
may compromise the lossless coding efficiency. In this paper, an
optimized scheme based on transformation and quantization techniques for
the HEVC Intra lossless coding is proposed as an additional mode. In the
proposed scheme, an initial residual block is divided into two parts:
the coefficient block and the second residual block. The coefficient
block is derived by the lossy transformation and quantization technics
in HEVC. The second residual block is made up with residuals of small
absolute values. Both the coefficient block and the second residual
block can be efficiently coded by the existing coefficient coding scheme
in HEVC. Rate-distortion optimization is employed to choose between the
proposed scheme and the transform bypass scheme to achieve the best
coding performance for each block. The proposed scheme is implemented
into the HM 12.1 software. Experimental results show that the proposed
scheme achieves 3.36 percent bit-rate saving on average and up to 12.29
percent compared with the HEVC lossless coding under the Intra main
configuration.%
\end{abstract}%



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\textbf{Hosted file}

\verb`An Optimized Transform and Quantization Scheme for HEVC Intra Lossless_V4.doc`  available at \url{https://authorea.com/users/668696/articles/668449-an-optimized-transform-and-quantization-scheme-for-hevc-intra-lossless-coding}

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