Hybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane Slicing
- 1 SACS MAVMM Engineering College, India
- 2 Karpagam College of Engineering, India
Copyright: © 2020 A. Pasumpon Pandian and S. N. Sivanandam. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.
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- Lossless image compression
- medical and satellite image compression
- hybrid algorithm
- modified huffman coding
- selective scan order
- run length encoding
- bit plane slicing