Multiple Iteration DWT based Image Compression Algorithm for PSNR Improvement

Ms. Srishti Agrawal, Mr. Vikas Mahor, Ms. Rekha Gupta

Abstract


There is an increase in demand of the storage capacity in mobiles, laptops and other digital devices therefore external memory is required to include, but one has limitation of increasing amount of memory. Therefore, data and image compression techniques are in great requirement. Discrete wave remodel based mostly compression algorithms had been planned by several researchers and any goes on to boost output image quality and increase compression ratio. In our proposed work, in order to increase compression ratio only low frequency part is transmitted. Arithmetic coding is applied for further compression. In order to improve the compression ratio, iteration of DWT is performed and results show up to 35 times improvement in CR with satisfactory PSNR value. In order to improve the image quality (PSNR) further, median filters has been applied. Switching median filter and simple median filter has been studied for multiple iterations. Analysis on window size has also been done to find the best window size for PSNR improvement.   

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