Title :
Wavelet Fractal Coding of Radar Image for VDR Storage
Author :
Li Fuxing ; Shi Chaojian ; Guan Keping
Author_Institution :
Shanghai Maritime Univ., Shanghai, China
Abstract :
Voyage Data Recorder (VDR) plays an important role in determining responsibility for marine accidents. Most of its capacity stores the shipboard navigation radar images. Thus, according to the characteristics of ship-borne radar images, on the premise of ensuring the quality of the compression and playback, maximizing the compression ratio is one of the ways to improve VDR storage capacity. A wavelet fractal coding algorithm is proposed for this purpose. Integer wavelet transform is applied to decompose and reconstruct radar image, and then modified fast fractal coding is used to encode low-frequency sub-image. The VDR radar images compression experiments show that the algorithm improves the compression speed and compression ratio.
Keywords :
data compression; data recording; image coding; image reconstruction; marine radar; radar imaging; radionavigation; wavelet transforms; VDR radar image compression; VDR storage capacity; compression ratio; compression speed; integer wavelet transform; low-frequency subimage encoding; marine accidents; radar image coding; radar image reconstruction; shipboard navigation radar images; voyage data recorder; wavelet fractal coding algorithm; Algorithm design and analysis; Fractals; Image coding; Radar imaging; Wavelet transforms;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6342114