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Mohammed M Siddeq


Phone 07549809195


I am a lecturer within the Department of Software Engineering at Technical College, Kirkuk, Iraq. Since September 2013 I am enrolled on a research programme leading to a PhD degree at Sheffield Hallam University. My research is concerned with developing new methods of image compression appropriate for robust structured light 3D reconstruction and texture mapping. The work is focused on 2D image and video image compression, comparative analysis with existing methods and 3D image analysis.

I have published 14 research articles on the topic of digital image compression in various journals, and I have 11 programs published in the Matlab Central website ranging from Huffman coding, image compression using wavelets, discrete cosine transform, Walsh transform and image de-noising.

In 1997 I was awarded a BSc degree in Computer Science in 1997 from AL-Nahrain University, College of Science, and an MSc in Computer Science in 2000 from the University of Technology within the Computer Science Department. The topic of my MSc dissertation was Digital Image Restoration using a multi-layer perceptron neural network.

My PhD research on image compression methods is being pursued within the Geometric Modelling and Pattern Recognition Research Group.


Research Degree: Advanced methods for efficient image and video compression

GMPR: Geometric Modelling and Pattern Recognition Research Group


SIDDEQ M. and RODRIGUES M. (2017). A novel high-frequency encoding algorithm for image compression, EURASIP Journal on Advances in Signal Processing 2017:26. DOI 10.1186/s13634-017-0461-4

SIDDEQ, M. M. and RODRIGUES, Marcos (2017). DCT and DST based Image Compression for Structured Light 3D Reconstruction, 3D Research-Springer, Vol. 8, No. 1. DOI: 10.1007/s13319-017-0116-0

M. M. Siddeq, M. A. Rodrigues (2016) Novel 3D Compression Methods for Geometry, Connectivity and Texture, 3D Research, Vol. 7 No.2. 10.1007/s13319-016-0091-x

SIDDEQ, M.M. and RODRIGUES, Marcos (2016). 3D Point Cloud Data and Triangle Face Compression by a Novel Geometry Minimization Algorithm and Comparison with other 3D Formats. In: The 7th International Conference on Computational Methods (ICCM2016), Berkeley California, USA, August 1-4, 2016, pp 379-394

SIDDEQ, M and RODRIGUES, Marcos (2015). A novel 2D image compression algorithm based on two levels DWT and DCT transforms with enhanced minimize-matrix-size algorithm for high resolution structured light 3D surface reconstruction. 3D Research6 (3), p. 26.

SIDDEQ, M and RODRIGUES, Marcos (2015). Applied sequential-search algorithm for compression-encryption of high-resolution structured light 3D data. In: BLASHKI, Katherine and XIAO, Yingcai, (eds.) MCCSIS : Multiconference on Computer Science and Information Systems 2015. IADIS Press, 195-202.

SIDDEQ, M.M. and RODRIGUES, Marcos (2014). A new 2D image compression technique for 3D surface reconstruction. In: MASTORAKIS, Nikos, PSARRIS, Kleanthis, VACHTSEVANOS, George, DONDON, Philippe,MLADENOV, Valeri, BULUCEA, Aida, RUDA, Imre and MARTIN, Olga, (eds.) Advances in information sciences and applications : Proceedings of 18th International Conference on Computers (part of CSCC'14). Recent advances in computer engineering series, 1 (22). World Scientific and Engineering Academy and Society (WSEAS), 379-386.

SIDDEQ, M. M. and RODRIGUES, Marcos (2014). A novel image compression algorithm for high resolution 3D reconstruction. 3D research5 (7), 17 pages.


Sheffield Hallam University (2016). Image Data Compression and Decompression. UK patent application GB 1503433.3, 28 Feb 2016.

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