학술논문

Comprehensive Statistical analysis of Holograms in context of coding
Document Type
Conference
Source
2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2022 IEEE Conference on. :1-5 Dec, 2022
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Wavelet transforms
Histograms
Technological innovation
Correlation
Image coding
Statistical analysis
Transform coding
Discrete Wavelet Transform
coding
holograms
statistical features
Language
Abstract
This paper presents a comprehensive analysis of the statistical features of holograms used in JPEG Pleno framework. The statistical features studied in this work include mean and standard deviation. Along with these analysis the histograms and correlation coefficient have also been studied. This study aims to explore the correlation among the pixels of the hologram in context of coding. The results show that the real and imaginary parts/amplitude and phase parts of holograms are almost uncorrelated and have different characteristics. So, the state-of-the-art coders designed for natural images may not be suitable for holographic data coding. However, the histograms of the holograms considered in this work have non uniform distribution with less variations and low dynamic range. This indicates that the hologram can be coded with good level of compression.