International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,April 2016,

Topic : FPGA Based Image Enhancement and Noise Removal Using Bilateral Filter

Authors:S Parvathy || Anas A S

Abstract:Image restoration refers to genre of techniques that aim to recover a high quality original image from degraded version of image which is given a specific model for degradation. The common forms of degradation that an image suffers are loss of sharpness and noise. The bilateral filter is a nonlinear filter that smoothens the noise while preserving the edge structure. This novel FPGA design architecture of bilateral filter is described in Register Transfer level (RTL). This feature of kernel based design is supported by input data into groups so that internal clock of the design is a multiple of pixel clock given by a target system.The bilateral filter is implemented by combining these features as highly parallelized pipeline structure. This method is non iterative and simple which combines both grey levels and colours based on their photometric similarity as well as geometric closeness and prefers near by values to distant values in both domain and range. The photometric component and the geometric component has been combined to form photo-geometric filter component which reduces the structural complexity while serving the process.This bilateral filtering operation is coded in VHDL and can be simulated using ModelSim and Matlab..

Keywords: Bilateral filter, Euclidean distance, Photo-Geometric component, Register matrix.

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DOI: 01.1617/vol3iss4pid180


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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