Implementation of Lossless Image Compression on Satellite Images using Microblaze Processor
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Neethu Gopi, Sajitha A.S
|DOI : 10.14445/22315381/IJETT-V45P257|
Neethu Gopi, Sajitha A.S "Implementation of Lossless Image Compression on Satellite Images using Microblaze Processor", International Journal of Engineering Trends and Technology (IJETT), V45(6),272-275 March 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
In satellite communication, Satellite images are used to determine space information. Satellite images gets corrupted due to the channel noise, wrong ISO settings etc. Satellite images contains large amount of data which increases the size of image, due to huge size it requires more time for transmission and quality of images become degraded. To mitigate these problems in this project presents a simple design of a combined scheme for compression, denoising and fusion of satellite images. Lifting scheme is the simplest and efficient algorithm to calculate wavelet transforms. The use of lifting scheme to achieve image compression guaranteed to be lossless in presence of inaccuracies. Salt & Pepper noise is needed to corrupt the compressed image and median filter is used for denoising the image. Finally image fusion is carried out using maximum rule in high pass filter. This system is implemented in Xilinx platform studio with Microblaze soft core processor using System C language. This system achieves high image quality in terms of MSE and PSNR.
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denoising, fusion of satellite images, lifting scheme, lossless image compression, median filter, System C language, Xilinx platform Studio.