A Lossy Frame Memory Compression Algorithm Using Directional Interpolation Prediction Variable Length Coding

Yu LUO; Zhenzhen ZHANG

doi:10.11999/JEIT181195

Volume 41 Issue 10

Oct. 2019

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Yu LUO, Zhenzhen ZHANG. A Lossy Frame Memory Compression Algorithm Using Directional Interpolation Prediction Variable Length Coding[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2495-2500. doi: 10.11999/JEIT181195

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Yu LUO, Zhenzhen ZHANG. A Lossy Frame Memory Compression Algorithm Using Directional Interpolation Prediction Variable Length Coding[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2495-2500. doi: 10.11999/JEIT181195

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A Lossy Frame Memory Compression Algorithm Using Directional Interpolation Prediction Variable Length Coding

doi: 10.11999/JEIT181195

Yu LUO^{1
,
,},
Zhenzhen ZHANG²

1.
Department of Basic Medicine, Shaanxi University of Chinese Medicine, Xi’an 712046, China
2.
Institute.of Systems, National University of Singapore, 119077, Singapore

Funds: The National High Technology Research and Development Program of China (2015M16903)

Received Date: 2019-01-03
Rev Recd Date: 2019-05-20

Available Online: 2019-05-29

Publish Date: 2019-10-01

Abstract

Abstract

A lossy frame memory compression algorithm using Direction Interpolation Prediction Variable Length Coding (DIPVLC) is proposed to improve frame memory compression performance. Firstly, the prediction residual is obtained by adaptive texture directional interpolation. Then, a new rate-distortion is optimized to quantize prediction residual. Finally, the run length Golomb method is used to entropy coding for quantized residual. Simulation results show that compared with parallel Content Aware Adaptive Quantization (CAAQ) oriented lossy frame memory recompression for HEVC, the proposed algorithm improves the compression rate by 10.05% and reduces the encoding time by 10.62% with less PSNR reduction.
- Lossy compression,
- Compression ratio,
- Frame memory,
- Encoding time

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References(16)

References

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