Adaptive optimal bit-depth estimation in compressed video sensing
- Resource Type
- Conference
- Authors
- He, Zhi-Jie; Yang, Chun-Ling; Tang, Rui-Dong; Ma, Li-Hong
- Source
- 2017 IEEE International Conference on Image Processing (ICIP) Image Processing (ICIP), 2017 IEEE International Conference on. :2756-2760 Sep, 2017
- Subject
- Computing and Processing
Signal Processing and Analysis
compressed video sensing
encoding
non-uniform quantization
bit-depth estimation
- Language
- ISSN
- 2381-8549
Quantization bit-depth has an important effect on rate-distortion (RD) in compressed video sensing (CVS). This paper proposes an adaptive optimal bit-depth estimation (AOBE) model based on non-uniform quantization and frame-based DPCM. In the model, quantization bit-depth is calculated by the function of predicted residual features and sampling rate (SR). Experimental results demonstrate our proposed AOBE model has superior RD performance compared with the fixed bit-depth, while maintains almost the same complexity at sampling side.