Multispectral Image Compression Based on DSC Combined with CCSDS-IDC

Remote sensing multispectral image compression encoder requires low complexity, high robust, and high performance because it usually works on the satellite where the resources, such as power, memory, and processing capacity, are limited. For multispectral images, the compression algorithms based on 3D transform (like 3D DWT, 3D DCT) are too complex to be implemented in space mission. In this paper, we proposed a compression algorithm based on distributed source coding (DSC) combined with image data compression (IDC) approach recommended by CCSDS for multispectral images, which has low complexity, high robust, and high performance. First, each band is sparsely represented by DWT to obtain wavelet coefficients. Then, the wavelet coefficients are encoded by bit plane encoder (BPE). Finally, the BPE is merged to the DSC strategy of Slepian-Wolf (SW) based on QC-LDPC by deep coupling way to remove the residual redundancy between the adjacent bands. A series of multispectral images is used to test our algorithm. Experimental results show that the proposed DSC combined with the CCSDS-IDC (DSC-CCSDS)-based algorithm has better compression performance than the traditional compression approaches

Hyperspectral Image Coding with LVQ-SPECK

Enhanced versions of the LVQ-SPECK algorithm are presented that further exemplify the codec’s good performance when dealing with multidimensional data sets. The two different alternatives might, in fact, be considered stepwise improvements over the original codec. First, an extended-range option is implemented, so that the number of spectral bands being simultaneously encoded is now a multiple of (instead of equal to) the codeword dimension. That in itself provides the means for much better rate allocation among the different bands. Then, use of the discrete wavelet transform over the spectral dimension, generating a wavelet packet decomposition of the original dataset is considered, and a substantial increase in coding performance is obtained, provided by the energy compaction characteristics of the transform. We provide results for the two different options of four-dimensional codebooks investigated, namely the shell-1 and shell-2 of the D4 lattice, further cementing the idea that the latter is much more adept for use in this setting than the former. Finally we present comparison with other state-of-the-art codecs employed to the same task and show how competitive our proposed extensions are

WICC 2016 : XVIII Workshop de Investigadores en Ciencias de la Computación

Actas del XVIII Workshop de Investigadores en Ciencias de la Computación (WICC 2016), realizado en la Universidad Nacional de Entre Ríos, el 14 y 15 de abril de 2016.Red de Universidades con Carreras en Informática (RedUNCI