Title :
Lossless compression of laser speckle images by the fuzzy logic
Author_Institution :
Coll. of Comput., ChongQing Univ., Chongqing, China
Abstract :
In this paper, we consider the problem of lossless compression of laser speckle images produced in displacement measurement. We propose a lossless compression technique of laser speckle images which is based on speckle displacement estimation, temporal prediction and the Golomb entropy coding. In the proposed coder, the fuzzy-logic-based correlation is used for estimation of speckle displacements. Experimental results show that the proposed coder provides significant improvement in coding efficiency compared with the JPEG_LS coder in compression of laser speckle images.
Keywords :
data compression; displacement measurement; entropy codes; fuzzy logic; image coding; lasers; speckle; Golomb entropy coding; JPEG_LS coder; displacement measurement; laser speckle image; lossless compression technique; speckle displacement estimation; temporal prediction; the fuzzy-logic-based correlation; Adaptive optics; Displacement measurement; Fuzzy logic; Fuzzy set theory; Image analysis; Image coding; Pattern analysis; Pattern recognition; Speckle; Wavelet analysis; Correlation function; Fuzzy logic; Lossless compression; Speckle image;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
DOI :
10.1109/ICWAPR.2009.5207433