International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
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A VLSI Architecture of the Bilateral Filter for Real-Time Image Denoising G.Premamai1, G.Rajendra2 1P.G Student, Department of Electronics and Communication Engineering, Vkr,Vnb& Agk college of Engineering,
Gudiwada, Andhra Pradesh,India
2Associate Professor, Department of Electronics and Communication Engineering, Vkr,Vnb&Agk college of
Engineering,Gudiwada ,Andhra Pradesh,India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract The Bilateral filter is a popular non-linear filter
each pixel. In order to accomplish real-time picture denoising, a VLSI design of the bilateral filter is suggested in A VLSI design of the Bilateral Filter for Real-Time picture Denoising. To get over the computational complexity and power consumption restrictions of conventional solutions, which are frequently unsuitable for real-time applications, the bilateral filter was developed as a VLSI design for realtime picture denoising.
used for image denoising , edge detection, and texture analysis. However, it requires a large number of computations for each pixel, making it computationally intensive and challenging to implement in real time applications. A VLSI architecture of the Bilateral filter is to denoise a picture. The proposed architecture uses distance-oriented grouping, resource sharing, and LUT techniques to reduce hardware complexity, power consumption, and computation time. The outcomes of the experiments demonstrate that the suggested architecture can carry out instantaneous picture denoising. with high accuracy and minimum hardware resources. The suggested design is expected to be useful for various realtime image-processing applications, including medical imaging, video surveillance, and autonomous driving.
1.2 Problem Definition The problem addressed in this Bilateral Filter VLSI Architecture for Real-Time Image Denoising is the high computational complexity and power consumption of the bilateral filter, which limits its use in real-time image processing applications. The Bilateral filter is a non-linear filter that requires a large number of computations to be performed for each pixel, which makes it computationally intensive on challenging to implement in real time applications. Additionally, the traditional software implementations of the Bilateral filter due to their incompatibility with hardware implementation high hardware complexity and power consumption.
Key Words: Bilateral filter, VLSI architecture, instantaneous picture Denoising, distance-oriented grouping, resource sharing, LUT.
1.INTRODUCTION A well-liked non-linear filter for image denoising, edge detection, and texture analysis is the bilateral filter. However, because it necessitates several computations for every pixel, it is computationally demanding and difficult to apply in real-time applications. To denoise pictures, a VLSI design of the bilateral filter is presented. Results show that the recommended design, resource sharing, and LUT approaches may decrease the complexity of the hardware, the amount of power used, and the amount of time it takes to compute. The results of the experiments show that the recommended architecture is capable of real-time picture denoising with high precision and little hardware overhead. The proposed architecture is anticipated to be beneficial for several real-time image-processing applications, including autonomous driving and medical imaging.
2. Literature Survey In the examination of the literature, several studies on We looked at the bilateral filter and its uses. Multiple techniques are utilized to implement the bilateral filter in hardware and software. Some of the major findings of the literature review are as follows: Popular non-linear filter for image processing is the bilateral filter. applications, such as image denoising, edge detection, and tone mapping.
1.1 Motivation Hardware designs that can execute complicated image processing algorithms have been developed in response to the growing need for real-time image-processing software. The computationally demanding approach known as the bilateral filter necessitates doing several computations for
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a.
Due to the many consumptions need for each pixel, the bilateral filter has a high computational cost making it computationally demanding and difficult to apply in real time applications.
b.
Researchers have suggested a number of methods, such as distance-oriented grouping, resource sharing, and LUT approaches, to reduce the computational complexity and power consumption of the bilateral filter.
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