FastCam: Real-Time Implementation of the Lucky Imaging Technique using FPGA

Piqueras, J.; Rodriguez-Ramos, Luis Fernando; Martín, Y.; Martínez-Álvarez, J. Javier

doi:10.1109/spl.2008.4547748

Cited by 6 publications

(9 citation statements)

References 4 publications

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“…In 2008, the team of Oscoz and Piqueras first implemented the lucky imaging using an FPGA and built an FPGA-based lucky imaging system-FastCam, with which astronomical observations were carried out and real-time high-resolution images were obtained [16]. The FastCam system employs a high-performance Vertex-4 FPGA and its development board manufactured by Xilinx.…”

Section: Related Workmentioning

confidence: 99%

“…This novel FPGA-based real-time lucky imaging algorithm is different from the conventional CPU-based lucky imaging algorithm [1], [4], [18], and also different from FastCam and Zhao's FPGA-based real-time lucky imaging algorithms [2], [10], [16]. Firstly the proposed algorithm uses a Gaussian filter and a cosmic ray removal process to denoise the input images, and then uses a constant percentage of image selection for dynamic image selection that does not require any sorting operations.…”

Section: A New Real-time Lucky Imaging Algorithm 1) Description Of Th...mentioning

confidence: 99%

“…(1) Initialization: the initial values of n and m are 1, and the initial peak flux count x 0 is the median of the peak counts of the three pre-captured images; (2) Receive serial input astronomical images continuously, and perform Gaussian filtering with a 3 × 3 window for the current frame (nth frame); (3) Find the peak information of the nth image, that is, the peak flux count and its location; (4) In the above procedure, step (1) is designed for initialization of the algorithm, steps (2) to (5) for receiving the input images and performing image pre-processing to suppress noise, steps (6) to (9) for selecting good images, step (10) for registering and storing the selected images, and steps (11) to (16) for dynamically updating and displaying the resulting image, of which step (12) for triggering the update of the resulting image according to the update of the address k, step (13) for reading and superimposing the selected images, and steps ( 14) to (15) for enhancing and displaying the resulting image.…”

Section: A New Real-time Lucky Imaging Algorithm 1) Description Of Th...mentioning

confidence: 99%

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A New Real-Time Lucky Imaging Algorithm and its Implementation Techniques

Wang

Xing

2020

IEEE Access

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Lucky imaging is a high-angular resolution astronomical image reconstruction technique that can effectively reduce the impact of atmospheric turbulence on image quality and improve the imaging resolution of ground-based telescopes. Its key steps include image selection, registration and superposition. However, the lucky imaging algorithms based on a central processing unit (CPU) encounter difficulty accomplishing real-time processing; thus, they are post-processing methods and cannot meet the needs of on-site observers. Taking advantage of the parallelism and flexibility of the field programmable gate array (FPGA), this paper presents a new real-time lucky imaging algorithm that features real-time processing and dynamic updating and displaying. The algorithm consists of a dynamic sorting-free image selection algorithm, an improved registration and storage method, a parallel superposition algorithm, a parallel preprocessing method for noise suppression and cosmic ray removal, and a dynamic multithreshold display scheme. The simulation results show that the algorithm is feasible, effective and efficient. Compared with other lucky imaging algorithms based on FPGAs, this algorithm shows great advantages in clock consumption and on-chip resource consumption. Furthermore, it can be implemented on a small or medium-size development board of an FPGA. Moreover, the implemented FPGA system can perform real-time and dynamic lucky imaging for more than 10,000 frames of short-exposure images with an original format of 512 × 512 pixels continuously. The experimental results not only show the validity of the proposed algorithm but also demonstrate the feasibility of the proposed implementation techniques for the FPGA-based algorithm.INDEX TERMS Astronomical observation, data reduction, FPGA, lucky imaging, real-time processing.

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Section: Related Workmentioning

confidence: 99%

Section: A New Real-time Lucky Imaging Algorithm 1) Description Of Th...mentioning

confidence: 99%

Section: A New Real-time Lucky Imaging Algorithm 1) Description Of Th...mentioning

confidence: 99%

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A New Real-Time Lucky Imaging Algorithm and its Implementation Techniques

Wang

Xing

2020

IEEE Access

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“…Starting from the experience of the J.E. Baldwin's working group at Cambridge University [1] [2][3] [4], the Instituto de Astrofísica de Canarias, in collaboration with the Universidad Politécnica de Cartagena [5][6] [7], have developed a high angular resolution instrument based on the Lucky-Imaging technique. This instrument, named FASTCAM, is able to obtain high spatial resolution images in the visible spectrum while using terrestrial telescopes.…”

Section: Introductionmentioning

confidence: 99%

Hardware acceleration on HPRC of a CNN-based algorithm for astronomical images reduction

Martínez

Garrigós

Villó

et al. 2010

2010 12th International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA 2010)

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Our objective is to provide an enhanced algorithm for the FASTCAM instrument, developed by the Instituto de Astrofísica de Canarias in collaboration with the Universidad Politécnica de Cartagena. In this paper we propose a versatile algorithm, based on the CNN paradigm, which can be adapted to the detection of several astronomical objects. We also propose an implementation architecture that makes use of a High Performance Reconfigurable Computer (HPRC), also called hybrid supercomputer, combining general purpose standard microprocessors with custom hardware accelerators based on FPGAs, to speed up execution time. The hardware/software partitioning and co-design process has been carried out using high level design tools, instead of traditional Hardware Description Languages (HDL).

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“…The frame grabbing software of AOLI, for example, displays the result of applying LI to the best recent images. Other instruments like FastCam opted for implementing the real-time previews on custom hardware [95].…”

Section: Methodsmentioning

confidence: 99%

Contribuciones a tecnología y técnicas para astronomía terrestre y espacial síntesis de codecs EDAC, AOLI y COELI

Conde¹

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In no particular order, I would like to dedicate this thesis to: my mother, for her loving support in these times of hard work; my father, for his useful advice all along the elaboration of this thesis; my sister, for being my particular guide star in a wide range of targets; my brother, for caring about my work though sometimes pretending not to; the mother of the killer whale, for filling my everyday life with love and joy; my friends, for giving me the energy and enthusiasm that keep me moving forward; my work colleagues, for all the misfortunes and successes we have shared together; and lastly, to my supervisors, for having let me participate in such incredible projects, opening a wide path for me to keep working in all the things I like the most. Your tutoring during these years has truly made me grow as a researcher, as an engineer, and more importantly, as a person. 1. C. Colodro-Conde and R. Toledo-Moreo. "Design and analysis of efficient synthesis algorithms for EDAC functions in FPGAs". In: IEEE Transactions on Aerospace and Electronic Systems 51.4 (Oct. 2015), pp. 3332-3347.

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FastCam: Real-Time Implementation of the Lucky Imaging Technique using FPGA

Cited by 6 publications

References 4 publications

A New Real-Time Lucky Imaging Algorithm and its Implementation Techniques

A New Real-Time Lucky Imaging Algorithm and its Implementation Techniques

Hardware acceleration on HPRC of a CNN-based algorithm for astronomical images reduction

Contribuciones a tecnología y técnicas para astronomía terrestre y espacial síntesis de codecs EDAC, AOLI y COELI

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