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- 摘要
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- 实验方案
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[ACM Press the 2nd International Conference - Las Vegas, NV, USA (2018.08.27-2018.08.29)] Proceedings of the 2nd International Conference on Vision, Image and Signal Processing - ICVISP 2018 - Hiding MP3 in Colour Image using Whale Optimization
摘要： Information is the key in today’s world and secure transmission is a must. The cryptography is about making cipher and keys management. They assume cipher can be detected and must be strong enough to decipher, but what if the cipher/information is not visible? The cipher would not be detected. The steganography makes this enable. This paper discusses how to hide an MP3 file in a digital image such that it becomes difficult to conclude about the existence of the hidden audio data. Here we utilize the k-LSB of pixels in an image to embed audio data bits into a selected pixel. The pixels are so chosen that the distortion in the image would be minimized due to embedding. This requires comparing all the possible permutations of pixel values, which may lead to exponential time complexity. For faster computation Whale optimization algorithm was used to find the most optimal solution.
关键词： MP3,Information Hiding,Nature-inspired algorithms,PSNR,Steganography,Whale Optimization
更新于2025-09-23 15:21:01
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Secure medical image steganography through optimal pixel selection by EH-MB pipelined optimization technique
摘要： In today’s world, transmission of information over the channel is not secure for example patient records and other sensitive information. In order to protect this sensitive information, it is coded within the image, audio or text files which is decodable only with the help of a particular key. To enable security to the covert communication and safeguarding the information for securing medical data to avoid medical related cybercrimes, we have proposed a method for medical image steganography using Elephant Herding-Monarch Butterfly (EH-MB) Optimization algorithm for effective selection of pixels for embedding the secret message (i.e. image/text medical report data) in the cover image. Initially, the cover is converted to frequency domain using multilevel DWT, where, the pixel selection is done optimally in the high frequency components using EH-MB algorithm. EH-MB based pixel selection procedure uses a fitness function that depends on the cost function, which calculates the edge, entropy, and intensity of the pixel for evaluating fitness. Simulation was done in the working platform of MATLAB and comparison of the proposed steganography approach was done with the other existing methods in terms of Peak-Signal-to Noise-Ratio and Mean Square Error to prove the effectiveness of the proposed approach.
关键词： Intensity,Elephant herding,Steganography,Object,MSE,PSNR,Entropy,Covert,Segmentation,Edge,Monarch butterfly
更新于2025-09-19 17:15:36
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[IEEE 2018 20th International Conference on Transparent Optical Networks (ICTON) - Bucharest (2018.7.1-2018.7.5)] 2018 20th International Conference on Transparent Optical Networks (ICTON) - Measurement of IPTV Services on a Hybrid Access Network
摘要： Future telecommunication networks will be formed by means of different types of telecommunication systems that were used in the past. Considering expanding options of today’s smart mobile phones there is increasing pressure on telecommunication operators, who face a challenge how to cooperate across different telecommunication systems within their networks. The work focuses on the expansion of IPTV data flow on a hybrid network that is formed by the EPON and ADSL technologies. Along with the hybrid topology we focus on comparing multicast and unicast expansion of IPTV data traffic within this work.
关键词： EPON,MSE,ADSL,hybrid network,PSNR,SSIM,IPTV
更新于2025-09-10 09:29:36
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A Novel Algorithm for Image Denoising Using DT-CWT
摘要： This paper addresses image enhancement system consisting of image denoising technique based on Dual Tree Complex Wavelet Transform (DT-CWT) . The proposed algorithm at the outset models the noisy remote sensing image (NRSI) statistically by aptly amalgamating the structural features and textures from it. This statistical model is decomposed using DTCWT with Tap-10 or length-10 filter banks based on Farras wavelet implementation and sub band coefficients are suitably modeled to denoise with a method which is efficiently organized by combining the clustering techniques with soft thresholding - soft-clustering technique. The clustering techniques classify the noisy and image pixels based on the neighborhood connected component analysis(CCA), connected pixel analysis and inter-pixel intensity variance (IPIV) and calculate an appropriate threshold value for noise removal. This threshold value is used with soft thresholding technique to denoise the image .Experimental results shows that that the proposed technique outperforms the conventional and state-of-the-art techniques .It is also evaluated that the denoised images using DTCWT (Dual Tree Complex Wavelet Transform) is better balance between smoothness and accuracy than the DWT.. We used the PSNR (Peak Signal to Noise Ratio) along with RMSE to assess the quality of denoised images.
关键词： Soft-Clustering,Image Denoising,PSNR,Tap-10 Filter banks,DTCWT
更新于2025-09-04 15:30:14