JPEG-2000 is the new image compression standard currently under development by ISOIIEC. Part I of this standard provides a "baseline" compression technology appropriate for grayscale and color imagery. Part II of the standard will provide extensions that allow for more advanced coding options, including the compression of multiple component imagery. Several different multiple component compression techniques are currently being investigated for inclusion in the JPEG-2000 standard. In this paper we apply some of these techniques toward the compression of HYDICE data. Two decorrelation techniques, 3D wavelet and Karhunen-Loeve Transform (KLT), were used along with two quantization techniques, scalar and trellis-coded (TCQ), to encode two HYDICE scenes at five different bit rates (4.0, 2.0, 1 .0, 0.5, 0.25 bits/pixel/band). The chosen decorrelation and quantization techniques span the range from the simplest to the most complex multiple component compression systems being considered for inclusion in JPEG-2000. This paper reports root-mean-square-error (RMSE) and peak signal-to-noise ratio (PSNR) metrics for the compressed data. A companion paper [1] that follows reports on the effects of these compression techniques on exploitation of the HYDICE scenes.
In order to assist the National imagery Transmission Format Standard (NITFS) Technical Board (NTB) in selecting new BWC algorithm(s), evaluations of candidate image compression algorithms were performed on the basis of objective and subjective image quality performance, bit rate control, susceptibility to channel errors, and complexity of implementation. Based on these evaluations, which were conducted under the guidance of the NTB, it was concluded that the ISO/JPEG DOT1 compression algorithm was the most suitable for the NITFS purpose even though two proprietary sub-band coding techniques generally performed better in subjective image quality. Moreover, it was decided that three algorithms would be further evaluated at very low bit rates (down to 0.0675 bits per pixel), where the ISO/JPEG DCT does not perform optimally.
JPEG2000 Part I provides a host of compression options and data ordering choices which enable powerful applications and create tremendous flexibility in the handling of still images. Part I, however, is restricted to handle multiple component images (with the exception of three-component images) a single component at a time. In general, Part I allows no exploitation of inter-component correlation that may exist. Part II introduces a robust multiple component transform capability which is applied prior to the Part I spatial wavelet decomposition and compression. This paper describes some of the multiple component transform capabilities in JPEG2000 Part II, including prediction, traditional decorrelation, wavelet transformations, and reversible integer transformations.
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