An Adaptive Multiresolution-Based Multispectral Image Compression Method

Delcourt, Jonathan; Mansouri, Alamin; Sliwa, Tadeusz; Voisin, Yvon

doi:10.1007/978-3-642-13681-8_7

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Optical remote sensing uses sensors sensitive to multispectral bands, such as visible, near-infrared, and shortwave infrared bands, to form images of the earth's surface by detecting the solar radiation reflected from objects on the ground. Hence, multispectral images are used in remote sensing to a large degree, as presented in [1] and [2], and they are starting to be used in several terrestrial applications such as medical imagery and quality control, among others [3].…”

Section: Related Work 121 Multispectral Imagesmentioning

confidence: 99%

Image Compression Techniques on-Board Small Satellites

Shihab

2023

Iraqi Journal of Science

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Raw satellite images are considered high in resolution, especially multispectral images captured by remote sensing satellites. Hence, choosing the suitable compression technique for such images should be carefully considered, especially on-board small satellites, due to the limited resources. This paper presents an overview and classification of the major and state-of-the-art compression techniques utilized in most space missions launched during the last few decades, such as the Discrete Cosine Transform (DCT) and the Discrete Wavelet Transform (DWT)-based compression techniques. The pros and cons of the onboard compression methods are presented, giving their specifications and showing the differences among them to provide unified information about these methods for researchers and satellite imaging payload designers. Hence, some of these techniques are implemented, and comparisons are presented in the current work as examples to simulate an image compression system on board a small satellite using the MATLAB software package. This was achieved by employing three LANDSAT8, band6 satellite images. A wavelet selection was also considered for the DWT-based compression method, which gave the best results among the other methods through acquiring high values of compression ratio (CR) while maintaining the important scientific information of the image when reconstructed at the ground station.

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Section: Related Work 121 Multispectral Imagesmentioning

confidence: 99%

Image Compression Techniques on-Board Small Satellites

Shihab

2023

Iraqi Journal of Science

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“…The degree of spectral correlation is evident in the covariance matrix of the image channels and can be expressed with the correlation coefficient ρ as shown in Figure 3.13. Many authors use the principal component analysis (PCA) for spectral decorrelation [29,31,32,36,41,93]. However, an implementation is expensive in terms of complexity and execution time.…”

Section: Spectral Decorrelationmentioning

confidence: 99%

Reconfigurable architecture for real-time image compression on-board satellites

Manthey

Krutz

Juurlink

2015

J. Appl. Remote Sens

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Data products of optical remote sensing systems are increasingly used in many areas of our everyday life. The spatial as well as the spectral resolution of satellite image data increases steadily with new missions resulting in a higher precision of known procedures and new application scenarios. While the memory capacity requirements can still be fulfilled, the transmission capacity becomes increasingly problematic. Real-time transmission of high-resolution image data is currently not possible.This thesis presents a new image data compression architecture that can be used for current and future projects at the German Aerospace Center (DLR). The architecture has region-of-interest support and offers flexible access to the compressed data based on the CCSDS 122.0-B-1 image data compression standard. Region of interest (ROI) coding can be useful in scenarios where on-board classification, registration, or object or change detection algorithms are used. It is also useful to decrease the amount of data that must be transferred to the ground station. Modifications to the standard have been made to permit a change of compression parameters and the re-organization of the bit-stream after compression. An additional index of the compressed data is created, which makes it possible to locate individual parts of the bit-stream. On request, compressed and stored images can be re-assembled and transmitted according to the application's needs and as requested by the ground station.The requirements, the design of the architecture, and its implementation based on reconfigurable hardware are presented. The architecture was developed for a spacequalified Xilinx Virtex 5QV, where a single instance of the architecture is capable of compressing images at a rate of up to 200 Mpx /s (or 400 Mbyte /s for 16 bit images). It operates at a clock frequency of 100 MHz and processes two image pixels per clock cycle. A Xilinx Virtex-5QV enables thereby compressing images with a width of up to 4096 pixels without the use of external memory. Without external memory and additional interfaces, the power consumption of the architecture is about 5 W. The proposed architecture is one of the fastest implementations yet reported and sufficient for recent high-resolution systems. Investigations in the resource and power consumption, as well as the availability of external storage have shown that it should be possible to integrate the design directly on a focal plane.

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“…Delcourt et al devised the multi resolution image compression technique, implemented within the multi 2D and full 3D methods and compared with JPEC2000 [7]. Kharate and Patil suggested a wavelet packet best-tree based on threshold entropy with enhanced run-length encoding, which showed a reduction in time complexity compared with JPEG2000 [8].…”

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confidence: 99%

Compression techniques on MR image — A comparative study

Papitha

Nancy

Nedumaran

2013

2013 International Conference on Communication and Signal Processing

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Digital Imaging and Communications in Medicine (DICOM) is a standard image format for distribution and viewing of medical images from different modalities. For transmitting the medical images over the internet and for storing for future use, different compression techniques have been employed. This paper addressed most of the existing DICOM image compression techniques and studied the performance of the respective compression algorithms using visual inspection method and verified quantitatively in terms of compressed file size, compression ratio, PSNR and MSSIM.Finally, the optimum compression technique found from this study has been discussed in terms of the visual perception and performance metrics.

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An Adaptive Multiresolution-Based Multispectral Image Compression Method

Cited by 5 publications

References 12 publications

Image Compression Techniques on-Board Small Satellites

Image Compression Techniques on-Board Small Satellites

Reconfigurable architecture for real-time image compression on-board satellites

Compression techniques on MR image — A comparative study

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An Adaptive Multiresolution-Based Multispectral Image Compression Method

Cited by 5 publications

References 12 publications

Image Compression Techniques on-Board Small Satellites

Image Compression Techniques on-Board Small Satellites

Reconfigurable architecture for real-time image compression on-board satellites

Compression techniques on MR image &#x2014; A comparative study

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Compression techniques on MR image — A comparative study