Paper Info
Title
Comparison of 3D set partitioning methods in hyperspectral image compression featuring an improved 3D-SPIHT
Abstract
Summary form only given. Hyperspectral images were generated through the collection of hundreds of narrow and contiguously spaced spectral bands of data producing a highly correlated long sequence of images. An investigation and comparison was made on the performance of several three-dimensional embedded wavelet algorithms for compression of hyperspectral images. These algorithms include 3D-SPIHT, AT-3DSPIHT, 3D-SPECK (three-dimensional set partitioned embedded block), and JPEG2000. 3D-SPIHT is the three-dimensional extension of the state-of-the-art SPIHT (set partitioning in hierarchical trees) image compression algorithm. AT-SPIHT uses the same coding algorithms as 3D-SPIHT, but utilizes a more efficient, asymmetric tree structure. 3D-SPECK is a version of two-dimensional SPECK modified to encode 3D subband blocks. For an image sequence, 3D-DWT was applied to obtain a wavelet coefficient prism. This prism is partitioned into small code blocks with different sizes, and each subband is treated as a code block. A block splitting algorithm is used on the individual code blocks to test their significance. Compression performance was conducted on the mentioned algorithms using several AVIRIS (Airborne Visible Infrared Imaging Spectrometer) image sequences. The rate distortion performances were compared by means of the peak signal-to noise ratio (PSNR). The visual effect is considered a primary concern of hyperspectral imagery so an analysis of every algorithm's visual effect is in order. Through experimentation, AT-3DSPIHT provided high quality reconstructed images even at very low bit rate such as 0.4 bpp. A comparison was also conducted on JPEG200 and other algorithms concerning JPEG2000's multi-component images. The results have shown that AT-3DSPIHT, 3D-SPIHT and 3D-SPECK outperform JPEG2000 by the approximate range of 1 to 2.5 dB PSNR, depending on the image sequence.
Year
DOI
Venue
2003
10.1109/DCC.2003.1194068
DCC
Keywords
Field
DocType
block codes,data compression,embedded systems,geophysical signal processing,image coding,image sequences,rate distortion theory,remote sensing,transform coding,tree data structures,wavelet transforms,3D set partitioning methods,3D subband blocks,3D-DWT,3D-SPECK,3D-SPIHT,AT-3DSPIHT,AVIRIS image sequences,JPEG2000,PSNR,airborne visible infrared imaging spectrometer data,block splitting algorithm,code blocks,compression performance,data spectral bands,hierarchical trees,hyperspectral image compression,multicomponent images,peak signal to noise ratio,rate distortion,reconstructed images,three dimensional set partitioned embedded block,tree structure,visual effect,wavelet algorithms,wavelet coefficient prism
Computer science,Theoretical computer science,Artificial intelligence,JPEG 2000,Wavelet transform,Wavelet,Airborne visible/infrared imaging spectrometer,Computer vision,Pattern recognition,Set partitioning in hierarchical trees,Transform coding,Hyperspectral imaging,Data compression
Conference
ISSN
ISBN
Citations 
1068-0314
0-7695-1896-6
10
PageRank 
References 
Authors
1.12
1
3
Name
Order
Citations
PageRank
Xiaoli Tang1101.12
Sungdae Cho217715.35
William A. Pearlman345563.45