Improved block based segmentation algorithm for compression of compound images

Article type: Research Article

Authors: Gnana King, G.R. | Seldev Christopher, C.

Affiliations: Department of Electronics and Communication Engineering, CSI Institute of Technology, Thovalai, India | St Xavier's Catholic College of Engineering, Chunkankadai, India

Note: [] Corresponding author. G.R. Gnana King, Department of Electronics and Communication Engineering, CSI Institute of Technology, Thovalai, India. E-mails: [email protected], [email protected] (C. Seldev Christopher).

Abstract: Compression and transmission of compound images are essential processes in real time applications where there is a necessity that the compression technique should attain high compression ratio, low complexity, high PSNR value and a required level of security. This paper proposes a novel method for block-based compound image compression. The pictorial blocks and text/graphics blocks are separated from the compound image. The pictorial blocks are compressed using discrete Haar wavelet transformation and text/graphics colors are mapped to primary colors using color quantization algorithm and the resulting index values are then compressed using the lossless Huffman coding technique. The compressed image is then encrypted using an Advanced Encryption Standard algorithm which ensures that the transmission is fast and highly secured. Experimental results conclude that the proposed algorithm provides better results like low complexity, high compression ratio and a high PSNR value than most of the other image compression techniques.

Keywords: Compound image compression, haar wavelet transformation, huffman coding and advanced encryption standard algorithm

DOI: 10.3233/IFS-141278

Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 6, pp. 3213-3225, 2014