Search Results - "Baiju, P S"

An Automated Unified Framework for Video Deraining and Simultaneous Moving Object Detection in Surveillance Environments by Baiju, P. S., George, Sudhish N.

“…In many instances, outdoor surveillance systems suffer from atrocious weather conditions such as rain, since images or videos captured by such vision systems…”
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An intelligent framework for transmission map estimation in image dehazing using total variation regularized low-rank approximation by Baiju, P S, Antony, Sherin Lisa, George, Sudhish N

“…The presence of haze affects a multitude of applications that require detection of image features, such as target tracking, object recognition and camera-based…”
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l1/2 regularized joint low rank and sparse recovery technique for illumination map estimation in low light image enhancement by Baiju, P. S., George, Sudhish N.

“…Insufficient illumination causes poor discernibility of visuals captured under low light environment. Often, computer vision algorithms designed to process…”
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l_{1/2}$$ regularized joint low rank and sparse recovery technique for illumination map estimation in low light image enhancement by Baiju, P. S., George, Sudhish N.

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Weighted Nuclear Norm and TV Regularization based Image Deraining by Baiju, P S, Deepak Jayan, P, George, Sudhish N

“…Often, images captured by digital camera in outdoor vision system may be significantly distorted by bad weather conditions. Such visual distortions may…”
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Audio watermarking technique using modified discrete cosine transform by Aparna, S., Baiju, P. S.

“…Audio watermarking is a data hiding technology widely used to increase the authentication of audio files and for copyright protection. Watermarking techniques…”
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Security enhancement in image steganography for medical integrity verification system by Sreekutty, M. S., Baiju, P. S.

“…Nowadays image steganography has major role in confidential medical image communication. When the medical image is transmitted through insecure public network,…”
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Tensor Low Rank Modeling and Its Applications in Signal Processing by Madathil, Baburaj, Sagheer, Sameera V Mohd, RahimanV, Abdu, Tom, Anju Jose, S, Baiju P, Francis, Jobin, George, Sudhish N

“…Modeling of multidimensional signal using tensor is more convincing than representing it as a collection of matrices. The tensor based approaches can explore…”
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