FPGA Implementation of Modified Recursive Box Filter-Based Fast Bilateral Filter for Image Denoising

Bhargava, Gollamandala; Gangadharan, Sivakumar Vaazi

doi:10.1007/s00034-020-01538-z

Cited by 8 publications

(5 citation statements)

References 35 publications

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“…Maazouz, Toubal, Bengherbia, Houhou, and Batel [22] constructed a new discrete chaotic system using the hybrid classification approach; the state variables of this system were then utilized to build a new S-box substitution matrix. The significance of this matrix in establishing the algorithm's degree of security cannot be overstated.…”

Section: Literature Surveymentioning

confidence: 99%

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Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Hebbale

Akula²,

Baraki³

2023

Int. j. electr. comput. eng. syst. (Online)

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Images and video-based multimedia data are growing rapidly due to communication network technology. During image compression and transmission, images are inevitably corrupted by noise due to the influence of the environment, transmission channels, and other factors, resulting in the damage and degradation of digital images. Numerous real-time applications, such as digital photography, traffic monitoring, obstacle detection, surveillance applications, automated character recognition, etc are affected by this information loss. Therefore, the efficient and safe transmission of data has become a vital study area. In this research, an image compression–encryption system is proposed to achieve security with low bandwidth and image de-noising issues during image transmission. The Chevrolet transformation is proposed to improve image compression quality, reduce storage space, and enhance de- noising. A 3D chaotic logistic map with DNA encoding and Tuna Swarm Optimization is employed for innovative image encryption. This optimization approach may significantly increase the image's encryption speed and transmission security. The proposed system is built using the Xilinx system generator tool on a field-programmable gate array (FPGA). Experimental analysis and experimental findings show the reliability and scalability of the image compression and encryption technique designed. For different images, the security analysis is performed using several metrics and attains 32.33 dB PSNR, 0.98 SSIM, and 7.99721 information entropy. According to the simulation results, the implemented work is more secure and reduces image redundancy more than existing methods.

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Section: Literature Surveymentioning

confidence: 99%

“…Diagonal, horizontal, and vertical image transformation coefficients are approximations. Repeat the process to generate the images using the Tetrolet transform [28] is expressed as…”

Section: Tetrolet Transformmentioning

confidence: 99%

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Hebbale

Akula²,

Baraki³

2023

Int. j. electr. comput. eng. syst. (Online)

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“…Moreover, the naive implementation is inefficient. Therefore, various accelerations 18 – 21 , which closely approximate the original bilateral filter with higher efficiency, have been proposed.…”

Section: Related Workmentioning

confidence: 99%

Soft clustering based on high- and low-level features for image smoothing

Yang

Zeng

et al. 2023

J. Electron. Imag.

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.Edge-preserving image smoothing is essential for computational imaging. Traditional filters are based on low-level image gradients; however, the edges defined on gradients do not align with the contours of human perception, thus suffering from certain limitations. We propose an image filter based on a soft clustering model that combines high-level semantics (derived from instance segmentation) with low-level features (intensities). The proposed filter works by first performing soft clustering on the input image according to the high- and low-level features to derive the affinity matrices, which are then fused for image smoothing. Experiment results indicate the advantages of the proposed filter in a variety of applications, including image smoothing, flash/non-flash fusion, detail enhancing, image dehazing, and depth upsampling. Furthermore, the proposed filter is efficient, and it takes 1.75 s to process a color image with 1 megapixel on a modern desktop.

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“…For image denoising, modified recursive box filter-based fast BF (MRBF) was implemented by Bhargava and Gangadharan [4]. In MRBF, a modified carry-select adder was utilized that was based on quantum-dot cellular automata technology.…”

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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FPGA Implementation of Modified Recursive Box Filter-Based Fast Bilateral Filter for Image Denoising

Cited by 8 publications

References 35 publications

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Soft clustering based on high- and low-level features for image smoothing

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

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