상세정보
학술지
Quantization of Dynamic Speckle Patterns with Spatially Varying Statistics
- 발행일
- 202102
- 출처
- Applied Optics, v.60 no.4, pp.155-165
- ISSN
- 1559-128X
- 출판사
- Optical Society of America (OSA)
- 협약과제
- 20HH2600, [전문연구실] 홀로그램 영상 서비스를 위한 Holo-TV 핵심 기술 개발, 박중기
- 초록
- Raw data compression is mandatory for monitoring of processes by dynamic speckle analysis when two-dimensional activity maps are built by pointwise statistical processing of correlated speckle patterns formed on the surface of diffusely reflecting objects under laser illumination. Coarse quantization of speckle patterns enables storage and transfer of a huge amount of images, but it may be inefficient at spatially varying speckle statistics, such as for patterns recorded at non-uniform illumination or reflectivity. We prove efficacy of coarse quantization of the raw speckle data with varying statistics for a normalized algorithm by simulation and a polymer drop drying experiment. Both uniform and non-uniform quantization are proposed for treating such data. Decreasing the bit depth from 8 to 3 is possible without worsening the quality of the activity map.
- KSP 제안 키워드
- Activity map, Bit depth, Coarse Quantization, Drop drying, Dynamic speckle, Laser illumination, Non-Uniform Illumination, Non-uniform quantization, Polymer drop, Statistical processing, data compression