A robust technique for image processing

Samrajyam Singu

Abstract


With the creation of IoT, image processing has advanced to a new level, as IoT has become an important aspect of everyone's life. These systems are developing several applications in the field of image processing, such as image filtering and processing. This system was completed with the help of a low-cost ZedBoard Zynq 7000 FPGA and a Raspberry-pi. The output for the input image was obtained after processing various image processing filters, namely the Gaussian filter, Sharpening filter, and Average filter, and these results were displayed on a VGA monitor. Also Edge detection and grayscale operations were performed on Lena's image, which had a size of 256256. Chip usage has been observed.

References


R. C. Gonzalez and P. Wintz, Digital Image Processing – Second

Edition,Addison- Pearson Education Publishing Company, 2005.

Joshi et. al. “Multicore Image Processing System using Network on

Chip Interconnect”, Proc. IEEE MWSCAS 2007, pp 1257-1260.

Jinalkumar. D, Joshi et Al ”Implemening a Cloud based Xilinx ISE

FPGA Design Platform for Integrated Remote Labs ”, Proc. IEEE

ICACCI 2015, pp-533-537.

B. Bosi, G. Bois and Y. Savaria, “Reconfigurable Pipelined 2D

Convolver for Fast Digital Signal Processing”, IEEE Trans. On VLSI

Systems, Vol. 7, No.3, Sept. 1999.


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