S. Rahul

Publications (3)0 Total impact

• Conference Proceeding: Hybrid DWT-SVD-VQ Image Compression for Monochrome Images

  N. Venkateswaran, J. Vignesh, S.S. Kumar, M. Bharadwaj, S. Rahul, Y.V.R. Rao
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  ABSTRACT: This paper investigates the new method of combined image compression from the well known discrete wavelet transform (DWT) and singular value decomposition (SVD). The method makes use of the energy compaction properties of both the transforms. On a sub block of an original image 2D wavelet transform is applied. On the transformed image the singular value decomposition is carried out. The resultant data contains maximum energy of the image in a minimum number of coefficients. These coefficients along with the singular matrix are vector quantized (VQ) and transmitted. Inverse operations are carried out in order to decompress the data. Thus this paper achieves high compression by exploiting the energy compaction properties of the best transforms that are applicable for image compression. Simulation results indicate that the compression obtained possess good subjective quality of image
  Signal Processing, Communications and Networking, 2007. ICSCN '07. International Conference on; 03/2007
• Conference Proceeding: Comparison of Pyramidal and Packet Wavelet Coder for Image Compression Using Cellular Neural Network (CNN) with Thresholding and Quantization.

  S. Rahul, J. Vignesh, S. Santhosh Kumar, M. Bharadwaj, N. Venkateswaran
  Fourth International Conference on Information Technology: New Generations (ITNG 2007), 2-4 April 2007, Las Vegas, Nevada, USA; 01/2007
• Conference Proceeding: A Frequency Adaptive Packet Wavelet Coder for Still Images Using CNN.

  N. Venkateswaran, J. Vignesh, S. Santhosh Kumar, S. Rahul, M. Bharadwaj
  Advances in Hybrid Information Technology, First International Conference, ICHIT 2006, Jeju Island, Korea, November 9-11, 2006, Revised Selected Papers; 01/2006