iosr-JVSP   Volume-7 ~ Issue-1 ~ Jan-Feb 2017

ABSTRACT: Linear spatial filters (LSF) are used for filtering of digital images with the purpose of blurring, noise reduction, detail enhancement etc. The realization of LSF confronts the capital problem of a lot of operations needed for their computation. In this paper, described is an approach for optimizing of LSF by utilizing parallel algorithms and their hardware implementation on FPGA. A model and an algorithm based on partial sums and aimed at calculating the filtered pixels are presented. Defined are criteria for comparing of the different types of linear filters............

Keywords: DSP, FPGA, Linear Spatial Filtering, Partial Sum, VHDL

[1] Gonzalez R., Woods R., Digital Image Processing, third edition, Prentice Hall, 2012.
[2] Uwe Meyer-Baese, Digital Signal Processing with Field Programmable Gate Arrays (FPGA), 4th Edition, Springer 2014.
[3] Jackson L., Digital Filters and Signal Processing, with MATLAB Exercises, 3rd Edition, Springer 2010.
[4] Salunkhe A., Bombale U., Optimized Implementation of Edge Preserving Color Guided Filter for Video on FPGA, IOSR Journal
of VLSI and Signal Processing , e-ISSN: 2319 – 4200, Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 27-33
[5] Bailey D., Design for Embedded Image Processing on FPGAs, First Edition, John Wiley & Sons (Asia) Pte Ltd., 2011

ABSTRACT: Iris is one of the physiological trait which is used to identify the individuals. In this paper Transform Domain Based Iris Recognition using EMD and FFT is proposed. Circular Hough Transform is used in the Preprocessing stage to extract circular part of eye. The circular iris part is converted into rectangular rubber sheet model in Region of Interest (ROI).Empirical Mode Functions (EMF)'s are obtained by applying Empirical Mode Decomposition (EMD) on the Iris............

Keywords: Iris Recognition, EMD, FFT, ROI, ED and Fusion

[1] Ya-Ping Huang, Si-Wei Luo and En-Yi Chen, "An Efficient Iris Recognition System," IEEE International Conference on Machine Learning and Cybernetics, vol. 1, pp. 450–454, November 2002.
[2] C. Tisse, L. Martin, L. Torres and M. Robert, "Person Identification Technique using Human Iris Recognition," IEEE International Conference on Vision Interface, vol. 4, pp. 33 - 36, 2004.
[3] J. Daugman, "How Iris Recognition Works," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, pp. 21-30, 2004.
[4] Hui Zheng and Fei Su, "An Improved Iris Recognition System Based on Gabor Filters," IEEE International Conference on Network Infrastructure and Digital Content, pp. 823-827, 2009.
[5] Lahouari Ghouti and Fares S. Al-Qunaieer, "Color Iris Recognition Using Quaternion Phase Correlation," IEEE Symposium on Bio-Inspired Learning and Intelligent Systems for Security, pp. 20-25, 2009.

ABSTRACT: With the fast growing technology, it is a great need to get to know about our surrounding weather parameters (temperature, humidity, atmospheric pressure, gas and light intensity) for better development of living community. A complete weather report can easily access the rarest and the farthest information at one's own fingertips. It is based on IoT (Internet of Things), which is an emerging field in which all the devices are connected to a channel and collect the data to gather a complete information through a personnel devices. It is generally used to view the weather parameters............

Keywords: API keys, AT commands, IoT

[1]. Brown, Eric (13 September 2016). "Who Needs the Internet of Things?". Linux.com. Retrieved 23 October 2016.

[2]. Brown, Eric (20 September 2016). "21 Open Source Projects for IoT". Linux.com. Retrieved 23 October 2016.

[3]. "Internet of Things Global Standards Initiative". ITU. Retrieved 26 June 2015.

[4]. "Internet of Things: Science Fiction or Business Fact?" (PDF). Harvard Business Review. November 2014. Retrieved 23 October 2016.

[5]. Evans, Dave. "The Internet of Things: How the Next Evolution of the Internet Is Changing Everything" (PDF). (April 2011) Cisco. Retrieved 15 February 2016.

ABSTRACT: Image fusion is the process of combining two or more images with specific objects with more precision. It is very common that when one object is focused remaining objects will be less highlighted. To get an image highlighted in all areas, a different means is necessary. This is done by the Image Fusion. In remote sensing, the increasing availability of Space borne images and synthetic aperture radar images gives a motivation to different kinds of image fusion algorithms. In the literature a number of time domain image fusion techniques are available............

Keywords: Image fusion, Laplacian Pyramid, SVD, Wavelet.

[1] Pajares, Gonzalo & Manuel, Jesus de la Cruz, A wavelet based image fusion tutorial, Pattern Recognition, 37, 1855-872, 2007.
[2] Varsheny, P.K., Multi-sensor data fusion, Elec. Comm. Engg., Journal, 9(12), 245-53, 1997.
[3] Burt, P.J. & Lolczynski, R.J. Enhanced image capture through fusion, Proc. of 4th International Conference on Computer Vision, Berlin, Germany, 173-82, 1993.
[4] Mallet, S.G. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Mach. Intel., 11(7), 674-93, 1989.
[5] Wang, H.; Peng, J. & W. Wu. Fusion algorithm for multi-sensor image based on discrete multiwavelet transform, IEEE Pro. Vis. Image Signal Process, 149(5), 2002.