An evaluation of JPEG compression for on-line satellite images transmission

Tada, T.; Cho, K.; Shimoda, Haruhisa; Sakata, Toshibumi; Sobue, Shinichi

doi:10.1109/igarss.1993.322757

Cited by 5 publications

(5 citation statements)

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“…The MMS/FPI space-based wavelet compressor suite uses a radiation-hardened Application Specific Integrated Circuit (ASIC) [Winterrowd et al, 2010] to compress count data according to the CCSDS (Consultative Committee for Space Data Systems) 122.0 Discrete Wavelet Transform and a Bit Plane Encoder (DWT/BPE) standard [Image Data Compression, 2005]. This method can achieve higher compression ratios with more favorable error conditions than traditional JPEG encoding [Tada et al, 1993;Al-Shaykh and Mersereau, 1998]. The wavelet compression algorithm is not new and has been used in imaging missions in the past [Delaunay et al, 2010] as has a similar algorithm, JPEG200 [Suhail et al, 2003], and others [Thiebaut et al, 2007;Yu et al, 2009].…”

Section: Introductionmentioning

confidence: 99%

Performance of a space‐based wavelet compressor for plasma count data on the MMS Fast Plasma Investigation

et al. 2017

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Data compression has been a staple of imaging instruments for years. Recently, plasma measurements have utilized compression with relatively low compression ratios. The Fast Plasma Investigation (FPI) on board the Magnetospheric Multiscale (MMS) mission generates data roughly 100 times faster than previous plasma instruments, requiring a higher compression ratio to fit within the telemetry allocation. This study investigates the performance of a space‐based compression standard employing a Discrete Wavelet Transform and a Bit Plane Encoder (DWT/BPE) in compressing FPI plasma count data. Data from the first 6 months of FPI operation are analyzed to explore the error modes evident in the data and how to adapt to them. While approximately half of the Dual Electron Spectrometer (DES) maps had some level of loss, it was found that there is little effect on the plasma moments and that errors present in individual sky maps are typically minor. The majority of Dual Ion Spectrometer burst sky maps compressed in a lossless fashion, with no error introduced during compression. Because of induced compression error, the size limit for DES burst images has been increased for Phase 1B. Additionally, it was found that the floating point compression mode yielded better results when images have significant compression error, leading to floating point mode being used for the fast survey mode of operation for Phase 1B. Despite the suggested tweaks, it was found that wavelet‐based compression, and a DWT/BPE algorithm in particular, is highly suitable to data compression for plasma measurement instruments and can be recommended for future missions.

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Section: Introductionmentioning

confidence: 99%

Performance of a space‐based wavelet compressor for plasma count data on the MMS Fast Plasma Investigation

et al. 2017

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“…High-quality digital video in multimedia devices and video-over-IP networks connected to the Internet are under exponential growth and therefore the demand for applications capable of high dynamic range (HDR) video is accordingly increasing. Some HDR imaging applications include automatic surveillance [1][2][3][4], geospatial remote sensing [5], traffic cameras [6], homeland security [4], satellite based imaging [7][8][9], unmanned aerial vehicles [10][11][12], automotive industry [13], and multimedia wireless sensor networks [14]. Such HDR video systems operating at high resolutions require an associate hardware capable of significant throughput at allowable area-power complexity.…”

Section: Introductionmentioning

confidence: 99%

A Row-Parallel 8$\,\times\,$8 2-D DCT Architecture Using Algebraic Integer-Based Exact Computation

Madanayake

Cintra²,

Onen³

et al. 2012

IEEE Trans. Circuits Syst. Video Technol.

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An algebraic integer (AI) based time-multiplexed row-parallel architecture and two final-reconstruction step (FRS) algorithms are proposed for the implementation of bivariate AI-encoded 2-D discrete cosine transform (DCT). The architecture directly realizes an error-free 2-D DCT without using FRSs between row-column transforms, leading to an 8×8 2-D DCT which is entirely free of quantization errors in AI basis. As a result, the user-selectable accuracy for each of the coefficients in the FRS facilitates each of the 64 coefficients to have its precision set independently of others, avoiding the leakage of quantization noise between channels as is the case for published DCT designs. The proposed FRS uses two approaches based on (i) optimized Dempster-Macleod multipliers and (ii) expansion factor scaling. This architecture enables low-noise high-dynamic range applications in digital video processing that requires full control of the finite-precision computation of the 2-D DCT. The proposed architectures and FRS techniques are experimentally verified and validated using hardware implementations that are physically realized and verified on FPGA chip. Six designs, for 4-and 8-bit input word sizes, using the two proposed FRS schemes, have been designed, simulated, physically implemented and measured. The maximum clock rate and block-rate achieved among 8-bit input designs are 307.787 MHz and 38.47 MHz, respectively, implying a pixel rate of 8×307.787≈2.462 GHz if eventually embedded in a real-time video-processing system. The equivalent frame rate is about 1187.35 Hz for the image size of 1920×1080. All implementations are functional on a Xilinx Virtex-6 XC6VLX240T FPGA device.

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“…As mentioned in the Section i., jpeg image compression is one of the most popular standard in the domain and there are numerous works that applied jpeg compression on satellite images [11]. Work done by Tada et.…”

Section: A Jpeg Image Compression For Satellite Imageriesmentioning

confidence: 99%

“…al. [11] evaluated the effect of the jpeg compression with power spectrum comparison showing the degree of image distortion after the compression. What is not dealt with tada's work is that the image compression may cause the deep neural network malfunction even though the compressed image looks fine with human eyes.…”

Section: A Jpeg Image Compression For Satellite Imageriesmentioning

confidence: 99%

XAI based Performance Preserving Adaptive Image Compression for Efficient Satellite Communication

Lee¹

2022

Preprint

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In the era of multinational cooperation, gathering and analyzing the satellite images are getting easier and more important. Typical procedure of the satellite image analysis include transmission of the bulky image data from satellite to the ground producing significant overhead. To reduce the amount of the transmission overhead while making no harm to the analysis result, we propose a novel image compression scheme RDIC in this paper. RDIC is a reasoning based image compression scheme that compresses an image according to the pixel importance score acquired from the analysis model itself. From the experimental results we showed that our RDIC scheme successfully captures the important regions in an image showing high compression rate and low accuracy loss.

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An evaluation of JPEG compression for on-line satellite images transmission

Cited by 5 publications

References 1 publication

Performance of a space‐based wavelet compressor for plasma count data on the MMS Fast Plasma Investigation

Performance of a space‐based wavelet compressor for plasma count data on the MMS Fast Plasma Investigation

A Row-Parallel 8$\,\times\,$8 2-D DCT Architecture Using Algebraic Integer-Based Exact Computation

XAI based Performance Preserving Adaptive Image Compression for Efficient Satellite Communication

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