FPGA Implementation of MRMN with Step-Size Scaler Adaptive Filter for Impulsive Noise Reduction

Prajapati, Priyank H.; Darji, Anand D.

doi:10.1007/s00034-019-01339-z

Cited by 5 publications

(2 citation statements)

References 37 publications

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“…For their performance estimation, the MSE, PSNR, and MSSIM performance metrics were used. To suppress any Gaussian and impulsive noise, Prajapati and Darji [15] developed a step-size scalar-based adaptive filter with a modified robust mixed norm (MRMN). To achieve a better convergence rate, an LMS adaptive algorithm was used.…”

Section: Literature Reviewmentioning

confidence: 99%

FPGA based secure and noiseless image transmission using LEA and optimized bilateral filter

Hebbale

Akula²,

Baraki³

2022

csci

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In today’s world, the transmission of secured and noiseless image is a difficult task. Therefore, effective strategies are important to secure the data or secret image from the attackers. Besides, denoising approaches are important to obtain noise-free images. For this, an effective crypto-steganography method based on Lightweight Encryption Algorithm (LEA) and Modified Least Significant Bit (MLSB) method for secured transmission is proposed. Moreover, a bilateral filter-based Whale Optimization Algorithm (WOA) is used for image denoising. Before image transmission, the secret image is encrypted by the LEA algorithm and embedded into the cover image using Discrete Wavelet Transform (DWT) and MLSB technique. After the image transmission, the extraction process is performed to recover the secret image. Finally, a bilateral filter-WOA is used to remove the noise from the secret image. The Verilog code for the proposed model is designed and simulated in Xilinx software. Finally, the simulation results show that the proposed filtering technique has superior performance than conventional bilateral filter and Gaussian filter in terms of Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM).

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Section: Literature Reviewmentioning

confidence: 99%

FPGA based secure and noiseless image transmission using LEA and optimized bilateral filter

Hebbale

Akula²,

Baraki³

2022

csci

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show abstract

“…Adaptive filters based on Huber function are proposed, where the cost functions are designed by using the Huber function or an modified Huber functions to retain robustness against to the impulsive noises [10]- [12]. Algo-rithms using step size scaler (SSS) are also proposed in [13], [14], where the SSS is derived from L 2 -norm based cost functions that is modified by utilizing the tangent hyperbolic function and log function.…”

Section: Introductionmentioning

confidence: 99%

L₁/L₂-Mode Switching Adaptive Filter Algorithm Based on Novel Mean Square Deviation Analysis

et al. 2020

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Design and Implementation of an Improved Variable Step-Size NLMS-Based Algorithm for Acoustic Noise Cancellation

Salah

Dessouky

Abdelhamid

2021

Circuits Syst Signal Process

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FPGA Implementation of MRMN with Step-Size Scaler Adaptive Filter for Impulsive Noise Reduction

Cited by 5 publications

References 37 publications

FPGA based secure and noiseless image transmission using LEA and optimized bilateral filter

FPGA based secure and noiseless image transmission using LEA and optimized bilateral filter

L₁/L₂-Mode Switching Adaptive Filter Algorithm Based on Novel Mean Square Deviation Analysis

Design and Implementation of an Improved Variable Step-Size NLMS-Based Algorithm for Acoustic Noise Cancellation

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