Sabina Hosic

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Image processing and communication is a subject of recent scientific research, involving improvement in image coding as well as in communication techniques. In this paper, Principal Component Analysis (PCA) is used for face image coding where coded images are transmitted over a channel with Additive White Gaussian Noise (AWGN). Binary Phase Shift Keying(More)
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is used for face image coding and the coded images are protected with convolutional codes for transmission over Additive White Gaussian Noise (AWGN) channel. Binary Phase Shift Keying(More)
In this paper, a system for reliable communication of coded grey-level face images over noisy channels is proposed. Principal Component Analysis (PCA) is used for face image coding and an unequal error protection (UEP) joint source channel coding scheme is proposed for mobile communication applications. Coded images are protected with convolutional codes(More)
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