Research Article
CMOS Image Sensors have become the principal technology in majority of digital cameras. They started replacing the film and Charge Coupled Devices in the last decade with the promise of lower cost, lower power requirement, higher integration and the potential of focal plane processing. However, the principal factor behind their success has been the ability to utilise the shrinkage in CMOS technology to make smaller pixels, and thereby have more resolution without increasing the cost. With the
Luiz Carlos Paiva Gouveia,
Bhaskar Choubey
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6
Article
Compressive sensing uses simultaneous sensing and compression to provide an efficient image acquisition technique and it has been demonstrated in optical and electrical image sensors. To guarantee exact recovery from sparse measurements, specific sensing matrix, which satisfies the Restricted Isometry Property (RIP), should be well chosen. Toeplitz-structured chaotic sensing matrix constructed by Logistic map has been proved to satisfy RIP with high probability. In this paper, we propose that
Li Liu,
Peng Yang,
Jianguo Zhang,
Guifen Wei
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1225–1243
Article
Yuri Shebzukhov,
Wang Yubian
International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 1–6