Rate Distortion Optimization Decision Algorithm of Coding Based on Adaptive Quantizer Selection
[1]Li Nana,Huang Kunqiang,Zhang Qiuwen,et al.Rate Distortion Optimization Decision Algorithm of Coding Based on Adaptive Quantizer Selection[J].Journal of Zhengzhou University (Engineering Science),2019,40(03):19-25.[doi:10.13705/j.issn.1671-6833.2019.03.001]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 03
Page number:
19-25
Column:
Public date:
2019-04-30
- Title:
- Rate Distortion Optimization Decision Algorithm of Coding Based on Adaptive Quantizer Selection
- Keywords:
- HEVC; Quantify; rate distortion; the complexity
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2019.03.001
- Abstract:
- In order to solve the problem of high complexity of HEVC coding, an efficient adaptive quantizer selection and rate distortion optimized quantization decision algorithm is proposed in this paper. The quantizer determines whether the quantization level of the transform coefficient is equal or zero and whether the sum of quantization levels is less than the set threshold.If the quantization level is equal or zero, the traditional RDOQ is used directly.Otherwise, a threshold decision is made,and finally determine the optimal quantizer.The proposed decision algorithm can select two quantization methods: Uniform Scalar Quantizer with small computational complexity and RDOQ with low bit rate self-adaptively, and the computational complexity of the encoder is reduced.The experimental results shows that our proposed algorithm can save about 10.52% of coding time.
- References:
- -
- Similar References:
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Last Update:
2019-04-16