Research Article Open Access

Hybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane Slicing

S. N. Sivanandam1 and A. Pasumpon Pandian2
  • 1 Karpagam College of Engineering, India
  • 2 SACS MAVMM Engineering College, India

Abstract

Problem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossless Image compression of limited bits/pixel images, such as medical images, satellite images and other still images common in the world. Efficient coding is achieved by run length and modified Huffman coding. This approach is combined with efficient selective scan order for entire image in one pass through. Results: The new hybrid algorithm achieves good compression rate, compared to the existing schemes of coding with different test images. Conclusion: Compared to the existing standards JPEG-LS and CALIC, the compression rate is reduced with our proposed algorithm for different standard test images.

Journal of Computer Science
Volume 8 No. 8, 2012, 1338-1345

DOI: https://doi.org/10.3844/jcssp.2012.1338.1345

Submitted On: 23 January 2012 Published On: 28 July 2012

How to Cite: Sivanandam, S. N. & Pandian, A. P. (2012). Hybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane Slicing. Journal of Computer Science, 8(8), 1338-1345. https://doi.org/10.3844/jcssp.2012.1338.1345

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Keywords

  • Lossless image compression
  • medical and satellite image compression
  • hybrid algorithm
  • modified huffman coding
  • selective scan order
  • run length encoding
  • bit plane slicing