Image Filtering with Iterative Wavelet Transform Based Compression

  • Vikas MahorEmail author
  • Srishti Agrawal
  • Rekha Gupta
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1046)


This paper attempts to propose a methodology to reduce the size of high definition colored images taken by the professional photographers. In this digital era as technology is advancing so fast, high definition photos are captured. But these pictures take a lot of memory space. Therefore data and image compression techniques are in great requirement. The major goal is to find computationally efficient algorithm to significantly reduce the storage size with capability to retrieve the quality of image. The proposed work effectively uses Discrete Wavelet Transform (DWT) and only low frequency part of the image is transmitted, after that further iterations are performed to increase the compression ratio. Numbers of iterations are decided by making a trade-off between compression ratio (CR) and Peak Signal to Noise Ratio (PSNR) value. Arithmetic coding is applied for further compressing the image. To improve the image quality (PSNR) further at higher iteration, filters has been applied. Switching weighted median filter and simple median filter has been studied. Analysis on different window size of median filter has also been done to achieve improved PSNR value.


Peak Signal to Noise Ratio (PSNR) Arithmetic coding Discrete Wavelet Transform (DWT) HAAR transform Compression ratio (CR) Median filter Switching weighted median filter (SWMF) 


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of ElectronicsMITSGwaliorIndia

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