Many-Core Parallel Algorithm to Correct the Gaussian Noise of an Image

Sánchez, Teodoro; Cedillo, Jesús Antonio Álvarez; Sandoval-Gutierrez, Jacobo

doi:10.1007/978-3-030-10448-1_7

Cited by 1 publication

(3 citation statements)

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“…The system is characterized by having low energy consumption and a high level of parallelism, concurrency and high computing power. All these features and in combination, allow data to be processed at different levels of software and hardware, thereby performing operations at each core [11,12].…”

Section: Many-core Technologymentioning

confidence: 99%

“…Many-Core Algorithm of the Embedded Zerotree Wavelet Encoder DOI: http://dx.doi.org /10.5772/intechopen.89300 This system has an energy consumption of 1 W per 50 Gigaflops in simple precision calculations; these cores measure 65 nm. This technology is RISC and can be run at a speed of 1 GHz, and the 16 cores have the same architecture [11,14].…”

Section: Many-core Technologymentioning

confidence: 99%

“…The implementation of the algorithm, in the Epiphany III system with 16 cores, operating at 1 GHz, which solves matrix multiplication of 128 × 128 in 2 ms. The performance of the Epiphany III system grows linearly, using appropriate programming and data distribution models, and this is seen in the cost/performance of an optimized system [11,[30][31][32][33].…”

Section: Distributions Of Data and Tasksmentioning

confidence: 99%

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Many-Core Algorithm of the Embedded Zerotree Wavelet Encoder

Cedillo¹,

Sánchez²,

Aguilar-Fernández³

et al. 2020

Coding Theory

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In the literature, the image compression was implemented using a variety of algorithms; such as vector quantization and subband coding and transform-based schemes. The current problem is that the selection of an image compression algorithm depends on criteria of compression ratio, but the quality of reconstructed images depends on the technology used. Some papers about of the wavelet transform-based coding show this field as an emerging option for image compression with high coding efficiency. It is well known that the new wavelet-based image compression scheme JPEG-2000 has been standardized. This chapter shows the developed novel algorithm executed in parallel using the embedded Zerotree wavelet coding scheme, in which the programs integrate parallelism techniques to be implemented and executed in the many-core system Epiphany III.

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Section: Many-core Technologymentioning

confidence: 99%

Section: Many-core Technologymentioning

confidence: 99%