Grayscale Image Compression Based on Min Max Block Truncating Coding
This paper presents an image compression techniques based on block truncating coding. In this work, a min max block truncating coding (MM_BTC) is presented for grayscale image compression relies on applying dividing image into non-overlapping blocks. MM_BTC differ from other block truncating coding such as block truncating coding (BTC) in the way of selecting the quantization level in order to remove redundancy. Objectives measures such as: Bit Rate (BR), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Redundancy (R), were used to present a detailed evaluation of MM_BTC of image quality.
Keywords: BTC, MM_BTC, Bit Rate, MSE, PSNR
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ABOUT THE AUTHORS
Hilal Almarabeh
Hilal Almara'beh received the B.S degree in Computer Science from Isra University, Amman, Jordan, in 2000. He received the M.S. degree in Computer Science from Amman Arab University for Graduate Studies, Amman, Jordan, in 2005. He is currently a lecturer of Computer Science Department, Faculty of Information Technology, Isra University, Jordan. His research interests are image processing and video segmentation, semantic web, grid and cloud computing, and database systems.
Khalil Barhoum
Khalil Barhoum received the B.S degree in Computer Engineering from Technical University of Budapest, Hungary , in 1992. He received the M.S. degree in Computer Science from Newyork Institute of Technology, Newyork, USA, in 2005. He worked as an instructor at Heald College, USA, for five years, and he is currently a lecturer of Computer Science Department, Faculty of Information Technology, Isra University. His research interests are security in the software engineering life cycle, image compression, and semantic web.
Majdi Ahed
Majdi Ahed received the B.S and M.S. degree in Computer Science from Jordan University, Amman, Jordan, in 1999, 2001 respectively. He worked as lecturer at Philadelphia University, Computer Science Department, Jordan, for five years, and he is currently a lecturer of Computer Science Department, Faculty of Information Technology, Isra University. His research interests are quality assurance, image processing, and semantic web.
Hilal Almarabeh
Hilal Almara'beh received the B.S degree in Computer Science from Isra University, Amman, Jordan, in 2000. He received the M.S. degree in Computer Science from Amman Arab University for Graduate Studies, Amman, Jordan, in 2005. He is currently a lecturer of Computer Science Department, Faculty of Information Technology, Isra University, Jordan. His research interests are image processing and video segmentation, semantic web, grid and cloud computing, and database systems.
Khalil Barhoum
Khalil Barhoum received the B.S degree in Computer Engineering from Technical University of Budapest, Hungary , in 1992. He received the M.S. degree in Computer Science from Newyork Institute of Technology, Newyork, USA, in 2005. He worked as an instructor at Heald College, USA, for five years, and he is currently a lecturer of Computer Science Department, Faculty of Information Technology, Isra University. His research interests are security in the software engineering life cycle, image compression, and semantic web.
Majdi Ahed
Majdi Ahed received the B.S and M.S. degree in Computer Science from Jordan University, Amman, Jordan, in 1999, 2001 respectively. He worked as lecturer at Philadelphia University, Computer Science Department, Jordan, for five years, and he is currently a lecturer of Computer Science Department, Faculty of Information Technology, Isra University. His research interests are quality assurance, image processing, and semantic web.
