Discrete wavelet transform fully adaptive prediction error coder: image data compression based on CCSDS 122.0 and fully adaptive prediction error coder

2013 ◽  
Vol 7 (1) ◽  
pp. 074592 ◽  
Author(s):  
Gabriel Artigues ◽  
Jordi Portell ◽  
Alberto G. Villafranca ◽  
Hamed Ahmadloo ◽  
Enrique García-Berro
Keyword(s):  
Wavelet Transform ◽  
Data Compression ◽  
Discrete Wavelet Transform ◽  
Prediction Error ◽  
Image Data ◽  
Discrete Wavelet ◽  
Adaptive Prediction ◽  
Fully Adaptive ◽  
Image Data Compression

scholarly journals Image data compression with hierarchical pixel averaging and fully adaptive prediction error coder

2015 ◽  
Vol 9 (1) ◽  
pp. 097493 ◽  
Author(s):  
Riccardo Iudica ◽  
Gabriel Artigues ◽  
Jordi Portell ◽  
Enrique García-Berro
Keyword(s):  
Data Compression ◽  
Prediction Error ◽  
Image Data ◽  
Adaptive Prediction ◽  
Fully Adaptive ◽  
Image Data Compression

scholarly journals A 13.3 Gbps 9/7M Discrete Wavelet Transform for CCSDS 122.0-B-1 Image Data Compression on a Space-Grade SRAM FPGA

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1234 ◽  
Author(s):  
Elias Machairas ◽  
Nektarios Kranitis
Keyword(s):  
Wavelet Transform ◽  
Data Compression ◽  
Discrete Wavelet Transform ◽  
High Speed ◽  
Image Data ◽  
Discrete Wavelet ◽  
Seamless Integration ◽  
Image Data Compression ◽  
Space Data ◽  
Sram Fpga

Remote sensing is recognized as a cornerstone monitoring technology. The latest high-resolution and high-speed spaceborne imagers provide an explosive growth in data volume and instrument data rates in the range of several Gbps. This competes with the limited on-board storage resources and downlink bandwidth, making image data compression a mission-critical on-board processing task. The Consultative Committee for Space Data Systems (CCSDS) Image Data Compression (IDC) standard CCSDS-122.0-B-1 is a transform-based 2D image compression algorithm designed specifically for use on-board a space platform. In this paper, we introduce a high-performance architecture for a key-part of the CCSDS-IDC algorithm, the 9/7M Integer Discrete Wavelet Transform (DWT). The proposed parallel architecture achieves 2 samples/cycle while the very deep pipeline enables very high clock frequencies. Moreover, it exploits elastic pipeline principles to provide modularity, latency insensitivity and distributed control. The implementation of the proposed architecture on a Xilinx Kintex Ultrascale XQRKU060 space-grade SRAM FPGA achieves state-of-the-art throughput performance of 831 MSamples/s (13.3 Gbps @ 16bpp) allowing seamless integration with next-generation high-speed imagers and on-board data handling networking technology. To the best of our knowledge, this is the fastest implementation of the 9/7M Integer DWT on a space-grade FPGA, outperforming previous implementations.

An Approach to Diminish Boundary Distortion in Compressing Grid DEM with Discrete Wavelet Transform

2012 ◽  
Vol 220-223 ◽  
pp. 2617-2621
Author(s):  
Zhan Qiang Chang ◽  
Xiao Meng Liu ◽  
Zu Rui Ao
Keyword(s):  
Wavelet Transform ◽  
Spatial Analysis ◽  
Data Compression ◽  
Discrete Wavelet Transform ◽  
Digital Elevation Model ◽  
High Accuracy ◽  
Discrete Wavelet ◽  
The Core ◽  
Digital Elevation ◽  
Elevation Model

Digital elevation model, the core data for 3-dimensinal visualization and spatial analysis, plays a key role in geosciences and GIS, and wavelet transform is an important tool for data compression. According to the characteristics of DEM data and wavelet transform, we proposed an approach to diminish boundary distortion in compressing grid DEM data with discrete wavelet transform, so that the compression performances are evidently improved. The experimental results indicate that not only higher compression ratios but also reconstructed DEM data with high accuracy are achieved by using the proposed approach.

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