Notice of Violation of IEEE Publication Principles: Compression of map images using code book method

Notice of Violation of IEEE Publication Principles

"Compression of Map Images Using Code Book Method"
by Krishna V., Radhakrishnan B., Cinly Thomas, and L. Padma Sures
in the Proceedings of the 2016 International Conference on Emerging Technological Trends (ICETT), October 2016

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains reused content from the paper below with insufficient references to the original author(s) and/or paper title)

"A Fast Lossless Compression Scheme for Digital Map Images Using Color Separation"
by Saif Zahir and Arber Broici
in the Proceedings of the 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010, pp.1318-1321


Map images are widely used in variety applications such as personal navigation, mobile computing, internet and academia. The usage of raster maps in many applications especially in small storage devices has negative impacts because of its relatively large size. The efficient use of compression method is essential to meet such requirements. A fast lossless compression scheme for raster map images is proposed in this paper. The proposed scheme is a combination of two methods, Code book construction based on indexing and Row-Column Reduction coding Algorithm. The code book based on indexing is constructed from the similar blocks present in the map image and row column reduction coding algorithm is used to compress the unique blocks in the image. Our experimental results show that the proposed compression scheme has better performance and the scheme is simple and fast.