Design and Development for Image Transmission Through Low Powered Wireless Networks Using Color Space Conversion Module
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[1] A. Haar. Zur Theorie der orthogonalen Funktionensysteme , 1910 .
[2] Julie C. Helmers,et al. Chunking as a rational strategy for lossy data compression in visual working memory , 2017, bioRxiv.
[3] Daan Wierstra,et al. Towards Conceptual Compression , 2016, NIPS.
[4] Paweł Turcza,et al. Low Complexity Wavelet Compression of Multichannel Neural Data , 2018, 2018 International Conference on Signals and Electronic Systems (ICSES).
[5] Martin Vetterli,et al. Data Compression and Harmonic Analysis , 1998, IEEE Trans. Inf. Theory.
[6] S SridharC,et al. Compression of image using hybrid combination of haar wavelet transform and color space model in noisy environment , 2017 .
[7] Pradip W. Kulkarni,et al. Automation of electricity billing process , 2014, 2014 International Conference on Power, Automation and Communication (INPAC).
[8] Parth H. Pathak,et al. Visible Light Communication, Networking, and Sensing: A Survey, Potential and Challenges , 2015, IEEE Communications Surveys & Tutorials.
[9] Vladimir Stojanovic,et al. Design and Analysis of a Hardware-Efficient Compressed Sensing Architecture for Data Compression in Wireless Sensors , 2012, IEEE Journal of Solid-State Circuits.
[10] Mauricio Junca,et al. Compressed sensing of data with a known distribution , 2018, Applied and Computational Harmonic Analysis.
[11] Vladimir V. Lukin,et al. Preliminary filtering and lossy compression of noisy remote sensing images , 2018, Remote Sensing.