FPGA implementation of vector directional distance filter based on HW/SW environment validation

Boudabous, Anis; Atitallah, Ahmed Ben; Khriji, Lazhar; Kadionik, Patrice; Nouri, Mohammad

doi:10.1016/j.aeue.2010.02.012

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…From Tab. 4, we can conclude that our design is more performant than [7,8,20] in spite of that the AVDDF is more complex than the VDF, DDF and VDDF filters.…”

Section: Hw/sw Experimental Resultsmentioning

confidence: 70%

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An FPGA Design for Real-Time Image Denoising

Atitallah¹

2022

Computer Systems Science and Engineering

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The increasing use of images in miscellaneous applications such as medical image analysis and visual quality inspection has led to growing interest in image processing. However, images are often contaminated with noise which may corrupt any of the following image processing steps. Therefore, noise filtering is often a necessary preprocessing step for the most image processing applications. Thus, in this paper an optimized field-programmable gate array (FPGA) design is proposed to implement the adaptive vector directional distance filter (AVDDF) in hardware/software (HW/SW) codesign context for removing noise from the images in real-time. For that, the high-level synthesis (HLS) flow is used through the Xilinx Vivado HLS tool to reduce the design complexity of the HW part. The SW part is developed based on C/C++ programming language and executed on an advanced reduced instruction set computer (RISC) machines (ARM) Cortex-A53 processor. The communication between the SW and HW parts is achieved using the advanced extensible Interface stream (AXI-stream) interface to increase the data bandwidth. The experiment results on the Xilinx ZCU102 FPGA board show an improvement in processing time of the AVDDF filter by 98% for the HW/SW implementation relative to the SW implementation. This result is given for the same quality of image between the HW/SW and SW implementations in terms of the normalized color difference (NCD) and the peak signal to noise ratio (PSNR).

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“…From Tab. 4, we can conclude that our design is more performant than [7,8,20] in spite of that the AVDDF is more complex than the VDF, DDF and VDDF filters.…”

Section: Hw/sw Experimental Resultsmentioning

confidence: 70%

“…The proposed design allows to speed up the VDF filtering process. In [8], an approximated hardware design is proposed to implement the VDDF filter. This architecture provides a good balance between the filtering quality and the processing time.…”

Section: Introductionmentioning

confidence: 99%

An FPGA Design for Real-Time Image Denoising

Atitallah¹

2022

Computer Systems Science and Engineering

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“…In addition, in Ref. [21], the classic VDDF filter is implemented to have a solution which can speed up the execution time while maintaining good accuracy. For that, the author can predict that the proposed implementation of the AVDDF filter gives better performances and can be used in many applications.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Further, the

l

parameter in (3) is selected equal to 0.75 and is chosen based on Refs. [20,21]. In fact, in Ref.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…[20], a balance between the spatial distance and the vector‐aggregated distance (with l = 0.75) is used to estimate a new interpolated pixel in the color image which gives an excellent filtered image quality. On the other hand, the same parameter is used in [21] to simplify the hardware implementation of the VDDF filter and to generate also a good filtered image. For that, in this work to control the balance between the angular and the magnitude distances in the AVDDF filter which is developed based on the VDDF filter, the

l

is chosen equal to 0.75.…”

Section: Performance Evaluationmentioning

confidence: 99%

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A New Adaptive Filter to Remove Impulsive Noise in Color Images

Atitallah

2022

IEEJ Transactions Elec Engng

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In this paper, a new adaptive vector directional distance filter (AVDDF) is proposed. The AVDDF filter is developed to remove the 'salt and papper' impulsive noise in color images. This algorithm consists in first step to detect pixels that are likely to have been contaminated with noise by using a threshold value. In second step, after recognizing the corrupted pixels, the smallest angular-magnitude distance is used to replace the noisy pixels. The proposed filter is tested with several standard color images which are contaminated with various levels of 'salt and pepper' impulsive noise (3%, 5%, 10%, 20% and 30%). The performance of the proposed filter is measured with peak signal-to-noise ratio (PSNR) and normalized color difference (NCD). The simulation results show that the proposed filter permits to ameliorate the performance of the classic vector directional distance filter (VDDF). Indeed, it provides an improvement by an average of 5% and 26% in the PSNR and NCD relative to the VDDF filter, respectively, with a small increase in the execution time by 6%. Besides, the AVDDF filter allows also an enhancement by an average of 2% and 14% in the PSNR and NCD relative to adaptive vector median filter (AVMF), respectively.

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Signal adaptive hardware implementation of a system for highly nonstationary two-dimensional FM signal estimation

Ivanovic

Radovic

2015

AEU - International Journal of Electronics and Communications

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FPGA implementation of vector directional distance filter based on HW/SW environment validation

Cited by 9 publications

References 10 publications

An FPGA Design for Real-Time Image Denoising

An FPGA Design for Real-Time Image Denoising

A New Adaptive Filter to Remove Impulsive Noise in Color Images

Signal adaptive hardware implementation of a system for highly nonstationary two-dimensional FM signal estimation

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