Single-Loop Software Architecture for JPEG 2000

Barina, David; Klíma, Ondřej; Zemčík, Pavel

doi:10.1109/dcc.2016.19

Cited by 5 publications

(4 citation statements)

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“…Suzuki and Sasaki [39] proposed the first system to demonstrate image transmission over a vertical path which was developed in Japan. The JPEG standard discrete cosine transform (DCT) was used to encode 256 Â 256 pixel still images with 2 bits per pixel.…”

Section: Related Workmentioning

confidence: 99%

“…Once the site is chosen and the vehicles are positioned, transmission of a sequence of still images of about 2 frames/s is accomplished at 30 kbps using an 8 PSK (phase-shift keying) modulation method. Another experiment of an underwater video transmission system, developed in Japan [39], employs 4 PSK, 8 PSK, and 16 quadrature amplitude modulation (QAM) signals with 40 kHz bandwidth to achieve transmissions up to 128 kbps. The system uses 100 kHz carrier frequency and was tested over a short vertical path of 30 m.…”

Section: Related Workmentioning

confidence: 99%

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Underwater radio frequency image sensor using progressive image compression and region of interest

Rubino

Centelles

Sales

et al. 2017

J Braz. Soc. Mech. Sci. Eng.

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The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised semi-autonomous robots have freedom of movement; however, the limited and varying bandwidth of underwater radio frequency (RF) channels is a major obstacle for the operator to get camera feedback and supervise the intervention. This paper proposes the use of progressive (embedded) image compression and region of interest (ROI) for the design of an underwater image sensor to be installed in an autonomous underwater vehicle, specially when there are constraints on the available bandwidth, allowing a more agile data exchange between the vehicle and a human operator supervising the underwater intervention. The operator can dynamically decide the size, quality, frame rate, or resolution of the received images so that the available bandwidth is utilized to its fullest potential and with the required minimum latency. The paper focuses first on the description of the system, which uses a camera, an embedded Linux system, and an RF emitter installed in an OpenROV housing cylinder. The RF receiver is connected to a computer on the user side, which controls the camera monitoring parameters, including the compression inputs, such as region of interest (ROI), size of the image, and frame rate. The paper focuses on the compression subsystem and does not attempt to improve the communications physical media for better underwater RF links. Instead, it proposes a unified system that uses well-integrated modules (compression and transmission) to provide the scientific community with a higher-level protocol for image compression and transmission in sub-sea robotic interventions. Keywords Progressive image compression Á Region of interest (ROI) Á Wavelet transforms Á Low-bandwidth communications Á Underwater vehicles for intervention Communicated by Sadek C. Absi Alfaro.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Underwater radio frequency image sensor using progressive image compression and region of interest

Rubino

Centelles

Sales

et al. 2017

J Braz. Soc. Mech. Sci. Eng.

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“…However, they were not designed for any effective treatment of signal boundaries. In [24], [25], we have proposed DWT transform engine for JPEG 2000 encoders. Also in this work we have not overcame the problem with effective treatment of signal boundaries.…”

Section: Arxiv:170908460v1 [Eesssp] 25 Sep 2017mentioning

confidence: 99%

Simple signal extension method for discrete wavelet transform

Barina

Zemčík

Kula

2016

2016 IEEE International Conference on Signal and Image Processing (ICSIP)

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Abstract-Discrete wavelet transform of finite-length signals must necessarily handle the signal boundaries. The state-ofthe-art approaches treat such boundaries in a complicated and inflexible way, using special prolog or epilog phases. This holds true in particular for images decomposed into a number of scales, exemplary in JPEG 2000 coding system. In this paper, the state-of-the-art approaches are extended to perform the treatment using a compact streaming core, possibly in multiscale fashion. We present the core focused on CDF 5/3 wavelet and the symmetric border extension method, both employed in the JPEG 2000. As a result of our work, every input sample is visited only once, while the results are produced immediately, i.e. without buffering.

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“…Chaver et al [56,58] The current literature regarding DWT implementations is, however, somewhat contradictory in the sense that some sources cite the DWT lifting implementation as being memory bound [54] while others state that some parallel algorithms scale linearly with the number of cores [66], which are in conflict unless the parallel implementations are far from saturating the memory bus (which seems to be the case).…”

Section: Parallelization Schemes For the Dwtmentioning

confidence: 99%

Extremely Low and Variable Bandwidth Image Compression with Region of Interest Applied to Real Time Underwater Robotic Interventions

Rubino¹

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Single-Loop Software Architecture for JPEG 2000

Cited by 5 publications

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Underwater radio frequency image sensor using progressive image compression and region of interest

Underwater radio frequency image sensor using progressive image compression and region of interest

Simple signal extension method for discrete wavelet transform

Extremely Low and Variable Bandwidth Image Compression with Region of Interest Applied to Real Time Underwater Robotic Interventions

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