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


  • Mr. Sunil B Hebbale KLE College of Engg. & Technology
  • Giridhar Akula
  • Parashuram Baraki




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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How to Cite

Hebbale, M. S. B., Giridhar Akula, & Parashuram Baraki. (2022). FPGA based secure and noiseless image transmission using LEA and optimized bilateral filter. Computer Science, 23(4). https://doi.org/10.7494/csci.2022.23.4.4491