Image synthesis M/2D/HWT in VLSI Technology
P. Maniraj Kumar1, P. Thirumurugan2, P.Karthikeyan3, S. Saravanan4, J. Kumarnat5
1Dr. P. Maniraj Kumar, Professor, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
2Dr. P. Thirumurugan, Associate Professor, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
3Dr. P. Karthikeyan, Associate Professor, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
4Mr. S. Saravanan, Associate Professor, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
5Mr. J. Kumarnath, Associate Professor, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
Manuscript received on October 16, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 2976-2982 | Volume-9 Issue-1, November 2019. | Retrieval Number: A9119119119/2019©BEIESP | DOI: 10.35940/ijitee.A9119.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image synthesis is grouping of valid information from a group of images in to unique image. The ensuing image is an improved quality than any other images. The spectral deformation major con in standard method. The different multiscale transforms are proposed the overcome the issue. The image is affected by impulse noise because of satellite images, are filtered the impulse noise in the image syntehesis. In this paper we studied the architecture of Edge preserve algorithm which good in PSNR and MSE. The proposed technique using wavelet decomposition is implemented in Matlab for low resolution images are multispectral image and high resolution image are panchromatic image and then we combined the synthesized image in Altera Cyclone. The result shows the significant area and power. The synthesis image has a Colour Combination which is Effective than any other in set of Images.
Keywords: Image Fusion, Haar Wavelet, Edge Preserving Filter, Impulse Noise.
Scope of the Article: VLSI Algorithms