Design and FPGA implementation of Real-Time Hardware Co-Simulation for image enhancement in biomedical applications

Alareqi, Mohammed; Elgouri, Rachid; Tarhda, Mohamed; Mateur, K.; Zemmouri, Abdelkarim; Mezouari, A.; Hlou, Laamari

doi:10.1109/wits.2017.7934601

Cited by 11 publications

(7 citation statements)

References 13 publications

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“…The primary goal of an image enhancement method is to improve the brightness, contrast, and visual quality of an image for human viewing [16], [17]. There are lots of image enhancement applications, such as biomedical applications [18], and Haze Removal [4], [17]. Dong et al [19] proposed a fast, efficient algorithm for the enhancement of low-light video.…”

Section: Related Workmentioning

confidence: 99%

Digital image enhancement by brightness and contrast manipulation using Verilog hardware description language

Azhari

Setumin

Noorsal

2023

IJECE

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A foggy environment may cause digitally captured images to appear blurry, dim, or low in contrast. This will impact computer vision systems that rely on image information. With the need for real-time image information, such as a plate number recognition system, a simple yet effective image enhancement algorithm using a hardware implementation is very much needed to fulfil the need. To improve images that suffer from low exposure and hazy, the hardware implementations are usually based on complex algorithms. Hence, the aim of this paper is to propose a less complex enhancement algorithm for hardware implementation that is able to improve the quality of such images. The proposed method simply combines brightness and contrast manipulation to enhance the image. In order to see the performance of the proposed method, a total of 100 vehicle registration number images were collected, enhanced, and evaluated. The evaluation results were compared to two other enhancement methods quantitatively and qualitatively. Quantitative evaluation is done by evaluating the output image using peak signal-to-noise ratio and mean-square error evaluation metrics, while a survey is done to evaluate the output image qualitatively. Based on the quantitative evaluation results, our proposed method outperforms the other two enhancement methods.

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Section: Related Workmentioning

confidence: 99%

Digital image enhancement by brightness and contrast manipulation using Verilog hardware description language

Azhari

Setumin

Noorsal

2023

IJECE

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“…The primary goal of image enhancement was to improve the brightness, contrast, and improved visual quality of an image for human viewing [11], [12]. Image enhancement evolves in a wide range of applications such as biomedical [8], and haze removal [6], [12]. Dong et al [13] proposed a high-speed, effective algorithm for enhancing a dim light video.…”

Section: Literature Reviewmentioning

confidence: 99%

“…FPGAs have recently advanced massively in both size and functionalities. This has piqued interest in adopting it as a development platform for IP applications, particularly in an application where real-time processing is essential [8]. In an FPGA, a matrix of programmable logic cells is linked via a grid of coupled lines and switches.…”

Section: Introductionmentioning

confidence: 99%

A systematic literature review on hardware implementation of image processing

Azhari

Setumin²,

Rosli³

et al. 2023

IJRES

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Image processing has become under the spotlight recently and leads to a significant shift in various fields such as biomedical, satellite images, and graphical applications. Nevertheless, the poor quality of an image is one of the noticeable limitations of image processing as it restricts efficient data extraction to be conducted. Conventionally, the image was processed via software applications such as MATLAB. In spite of the software's ability to cater to the data extraction of low-quality image issues, it still suffers from the time-consuming issue. As the ability to obtain a rapid outcome is a favorable feature of efficient image processing, the use of hardware in image processing is deemed to keep the addressed issue at bay. Thus, the image enhancement techniques using hardware have gradually rising interest among researchers with numerous approaches such as field programmable gate array (FPGA). In this study, 25 different research papers published from 2016 to 2021 are studied and analyzed to focus on the performance of FPGA as hardware implementation in image processing techniques.

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“…Processing a data stream which has different image size bits is inconvenient. A single serial processor makes it incredibly difficult to handle several operations on a picture pixel for enhancing it [13]. Mapping of an image enhancement technique from software to hardware requirement is a demanding task.…”

Section: Existing Research Techniquesmentioning

confidence: 99%

An Investigation towards Effectiveness in Image Enhancement Process in MPSoC

Archana¹,

Patel²

2018

IJECE

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<p>Image enhancement has a primitive role in the vision-based applications. It involves the processing of the input image by boosting its visualization for various applications. The primary objective is to filter the unwanted noises, clutters, sharpening or blur. The characteristics such as resolution and contrast are constructively altered to obtain an outcome of an enhanced image in the bio-medical field. The paper highlights the different techniques proposed for the digital enhancement of images. After surveying these methods that utilize Multiprocessor System-on-Chip (MPSoC), it is concluded that these methodologies have little accuracy and hence none of them are efficiently capable of enhancing the digital biomedical images.</p>

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Design and FPGA implementation of Real-Time Hardware Co-Simulation for image enhancement in biomedical applications

Cited by 11 publications

References 13 publications

Digital image enhancement by brightness and contrast manipulation using Verilog hardware description language

Digital image enhancement by brightness and contrast manipulation using Verilog hardware description language

A systematic literature review on hardware implementation of image processing

An Investigation towards Effectiveness in Image Enhancement Process in MPSoC

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