A Scalable Image Processing Framework for gigapixel Mars and other celestial body images

Powell, Mark W.; Rossi, Ryan A.; Shams, Khawaja

doi:10.1109/aero.2010.5446706

Cited by 17 publications

(6 citation statements)

References 8 publications

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“…Due to the specific focus of the standard on the large imagery, instead of the consumer photography, the standard has become widely adopted by the industries, such as medical imaging (Anastassopoulos et al, 2002), meteorology and remote sensing (Kosheleva et al, 2003), Sun (Muller et al, 2009) and planetary imaging (Powell et al, 2010), and microscopy (Germán et al, 2014). We believe that the astronomy community may benefit from this development, and learn from those industries that had faced similar challenges before astronomy.…”

Section: Case Study: Jpeg2000mentioning

confidence: 96%

“…One of those, namely JPEG2000, has been developed into a comprehensive royalty free industry standard -ISO/IEC 15444. Due to the specific focus of the standard on the large imagery, instead of the consumer photography, the standard has become widely adopted by the industries, such as medical imaging (Anastassopoulos et al, 2002), meteorology and remote sensing (Kosheleva et al, 2003), Sun (Muller, D. et al, 2009) and planetary imaging (Powell, M.W. et al, 2010), microscopy (Germn et al, 2014), etc.…”

Section: Case Study: Jpeg2000mentioning

confidence: 99%

“…Today, there is a growing level of support for the JPEG2000 standard, through both proprietary and open source software libraries such as: OpenJPEG 10 , JasPer (Adams and Kossentini, 2000), Aware 11 . JPEG2000 has been successfully used in a number of astronomy applications already, including the HiRISE (high resolution Mars imaging) project (Powell, M.W. et al, 2010) and JHelioviewer (high resolution Sun images) (Muller, D. et al, 2009).…”

Section: Case Study: Jpeg2000mentioning

confidence: 99%

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Astronomical imagery: Considerations for a contemporary approach with JPEG2000

Kitaeff

Cannon

Wicenec

et al. 2015

Astronomy and Computing

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a b s t r a c tThe new wide-field radio telescopes, such as: ASKAP, MWA, LOFAR, eVLA and SKA; will produce spectralimaging data-cubes (SIDC) of unprecedented size-in the order of hundreds of Petabytes. Servicing such data as images to the end-user in a traditional manner and formats is likely going to encounter significant performance fallbacks. We discuss the requirements for extremely large SIDCs, and in this light we analyse the applicability of the approach taken in the JPEG2000 (ISO/IEC 15444) standards. We argue the case for the adaptation of contemporary industry standards and technologies versus the modification of legacy astronomy standards or development of new standards specific to astronomy only.

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Section: Case Study: Jpeg2000mentioning

confidence: 96%

Section: Case Study: Jpeg2000mentioning

confidence: 99%

Section: Case Study: Jpeg2000mentioning

confidence: 99%

See 1 more Smart Citation

Astronomical imagery: Considerations for a contemporary approach with JPEG2000

Kitaeff

Cannon

Wicenec

et al. 2015

Astronomy and Computing

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“…In turn, Powell [7] reports a processing strategy that divides images into tiles to increase efficiency and scalability. Nevertheless, this strategy does not use hybrid systems.…”

Section: Related Workmentioning

confidence: 99%

Gaspra - software for astronomical image processing in high-performance computing clusters

Andrijauskas

Gradvohl

2014

Revista Brasileira De Computação Aplicada

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Resumo: Há uma enorme quantidade de informação gerada por telescópios como imagens astronômicas. Portanto, software e equipamentos podem processar essas imagens para encontrar novos fenômenos e obter novos conhecimentos sobre o espaço. Considerando a necessidade de um rápido processamento dessas imagens, apresentamos um software para processamento de imagens astronômicas em clusters de computação de alto desempenho, que utilizam sistemas de memória compartilhada e distribuída, chamado Gaspra. Projetamos o Gaspra para processamento em lote de grandes conjuntos de imagens astronômicas, permitindo aos pesquisadores criar workflows científicos para obter novos conhecimentos a partir desses conjuntos de dados de imagens do espaço. Experimentos com Gaspra mostram um aumento de velocidade de 3,5 vezes para processar uma única imagem em cinco nós de processamento, suportando, cada nó, 64 threads distintos. Palavras-chave:Imagens astronômicas. Processamento de imagens. Processamento de alto desempenho.Abstract: There is a huge amount of information generated by telescopes as astronomical images. Therefore, software and equipment could process these images to find new phenomena and obtain new knowledge about the space. Considering the need of rapid processing of those images, we present a software for astronomical image processing in high-performance computing clusters, which use shared and distributed memory systems, called Gaspra. We designed Gaspra to batch process large sets of astronomical images, allowing researchers to create scientific workflows to obtain new knowledge from these astronomy imagery data sets. Experiments with Gaspra show a 3.5-fold speedup to process a single image in five processing nodes, each node supporting 64 different threads.

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“…Today, there is a growing level of support for the JPEG2000 standard, through both proprietary and open source software libraries. JPEG2000 has been successfully used in a number of astronomy applications already, including the HiRISE (high resolution Mars imaging) project [9] and JHelioviewer (high resolution Sun images) [8].…”

Section: Case Study: Iso/iec 15444 (Jpeg2000)mentioning

confidence: 99%

Extremely Large Images: Considerations for Contemporary Approach

Kitaeff,

Wicenec,

et al. 2013

Preprint

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The new wide-field radio telescopes, such as: ASKAP, MWA, LOFAR, eVLA and SKA; will produce spectral-imaging datacubes (SIDC) of unprecedented volumes in the order of hundreds of Petabytes. Servicing such data as images to the enduser may encounter challenges unforeseen during the development of IVOA SIAP. We discuss the requirements for extremely large SIDC, and in this light we analyse the applicability of approach taken in the ISO/IEC 15444 (JPEG2000) standards.

show abstract

A Scalable Image Processing Framework for gigapixel Mars and other celestial body images

Cited by 17 publications

References 8 publications

Astronomical imagery: Considerations for a contemporary approach with JPEG2000

Astronomical imagery: Considerations for a contemporary approach with JPEG2000

Gaspra - software for astronomical image processing in high-performance computing clusters

Extremely Large Images: Considerations for Contemporary Approach

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