A lossy/lossless coding algorithm using histogram

  • Authors:
  • Sunil Bhooshan;Shipra Sharma

  • Affiliations:
  • Department of ECE, Jaypee University of Information Technology, Waknaghat;Department of CSE and IT, Jaypee University of Information Technology, Waknaghat

  • Venue:
  • ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
  • Year:
  • 2010

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Abstract

In this paper we propose a method of compression which is both lossy and lossless. The decision regarding what amount of image will be compressed in lossy manner, and what in lossless, depends on the information obtained by the histogram of the image. Another important decision parameter is bit rate of the image. Together these two parameters enable us to divide the image in two parts for different types of compression. The results show that the difference between original and decompressed images is visually negligible. The PSNR and SSIM are comparable to JPEG. . . .