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Discrete cosine transform based processing framework for indexing, decomposition and compression of biospeckle data
Laser Physics ( IF 1.2 ) Pub Date : 2020-06-10 , DOI: 10.1088/1555-6611/ab9021
Puneet Singh 1 , Amit Chatterjee 1 , Vimal Bhatia 1 , Shashi Prakash 2
Affiliation  

Biospeckle analysis is a useful tool for nondestructive characterization of different samples in diverse areas such as agriculture, engineering, biomedical imaging, medicine, and many more. In this paper, we present a single transform based framework to address three major aspects, viz. numerical quantification, sub-band decomposition and compression of biospeckle data. The discrete cosine transform (DCT) has been advantageously used to develop foundation for all three processing paradigms. First, an efficient method for numerical quantification of biospeckle activity using DCT has been developed. The salient features of the proposed strategy include its extreme simplicity, low complexity, and high accuracy. Furthermore, DCT has also been used in conjunction with the traditional processing methods to decompose and analyze the biospeckle activity associated with different sub-bands. The analysis allows isolation of different physiological and biological processes responsible for ...

中文翻译:

基于离散余弦变换的处理框架,用于生物斑点数据的索引,分解和压缩

生物斑点分析是用于在农业,工程,生物医学成像,医学等多个领域对不同样品进行非破坏性表征的有用工具。在本文中,我们提出了一个基于单一变换的框架来解决三个主要方面。数值量化,子带分解和生物斑点数据压缩。离散余弦变换(DCT)已被有利地用于为所有三种处理范例开发基础。首先,已经开发了一种使用DCT定量量化生物斑点活性的有效方法。所提出策略的显着特征包括其极度简单,低复杂度和高精度。此外,DCT也已与传统处理方法结合使用,以分解和分析与不同子带相关的生物斑点活性。该分析可以分离出负责...的不同生理和生物学过程。
更新日期:2020-06-10
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