Title :
Improved HEVC lossless compression using two-stage coding with sub-frame level optimal quantization values
Author :
Xun Cai ; Qunshan Gu
Author_Institution :
Dept. of EECS, Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
Lossless video coding is used when perfect preservation of video data is required. In HEVC, lossless coding is accomplished by bypassing the transform and quantization stages. Prediction residuals are coded with the entropy coder in the spatial domain. In this paper, two-stage coding with sub-frame adaptive quantization is proposed. The DCT is firstly applied to the prediction residuals and the DCT coefficients are quantized. The quantized DCT coefficients and the quantization error are coded. Adaptive quantization parameters are used for each Coding Unit. Simulation results show that the proposed method significantly outperforms the HEVC lossless coding.
Keywords :
data compression; discrete cosine transforms; entropy codes; quantisation (signal); video coding; coding unit; discrete cosine transform; entropy coder; improved HEVC lossless compression; lossless video coding; perfect video data preservation; prediction residuals; quantization error; quantized DCT coefficients; spatial domain; sub-frame adaptive quantization parameter; sub-frame level optimal quantization values; two-stage coding; Discrete cosine transforms; Encoding; Entropy; Image coding; Quantization (signal); Video coding; HEVC; Lossless coding; adaptive quantization; two-stage coding;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7026143