A Review of Color Image Encryption Techniques
Image encryption plays an important role to ensure confidential transmission and storage of image over internet. However, a real€“time image encryption faces a greater challenge due to large amount of data involved. This paper presents a review on image encryption techniques of both full encryption and partial encryption schemes in spatial, frequency and hybrid domains.
Keywords: Image Encryption, Full Encryption, Partial Encryption, Spatial Domain Image Encryption, Frequency Domain Image Encryption, Hybrid Domain Image Encryption.
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ABOUT THE AUTHORS
Lahieb Mohammed Jawad
Lahieb Mohammed Jawad received the B.Cs. degree in computer science from University of Al-Nahrain, Iraq, in 1999 and the M.Sc. degree in Computer Science from University of Al-Nahrain, Iraq, in 2002. Currently, she is pursuing her Ph.D. degree in Unversiti Technologic Malaysia. Her research interest includes image processing and understanding, multimedia encryption, watermarking, steganography, Intelligent Vision, artificial Intelligent. She published two papers.
Ghazali Bin Sulong
Ghazali Bin Sulong received his BSc degree in statistic from National University of Malaysia, in 1979, and MSc and PhD in Computing from University of Wales, Cardiff United Kingdom, in 1982 and 1989, respectively. He is currently a professor at the Faculty of Computing, Universiti Teknologi Malaysia. His research interest includes Biometric – fingerprint identification, face recognition, iris verification, ear recognition, handwriting recognition, and writer identification; object recognition; medical image segmentation, enhancement and restoration; human activities recognition; data hiding – digital watermarking and steganography; image encryption; image compression; image fusion; image mining, digital image forensics; object detection, segmentation and tracking.
Lahieb Mohammed Jawad
Lahieb Mohammed Jawad received the B.Cs. degree in computer science from University of Al-Nahrain, Iraq, in 1999 and the M.Sc. degree in Computer Science from University of Al-Nahrain, Iraq, in 2002. Currently, she is pursuing her Ph.D. degree in Unversiti Technologic Malaysia. Her research interest includes image processing and understanding, multimedia encryption, watermarking, steganography, Intelligent Vision, artificial Intelligent. She published two papers.
Ghazali Bin Sulong
Ghazali Bin Sulong received his BSc degree in statistic from National University of Malaysia, in 1979, and MSc and PhD in Computing from University of Wales, Cardiff United Kingdom, in 1982 and 1989, respectively. He is currently a professor at the Faculty of Computing, Universiti Teknologi Malaysia. His research interest includes Biometric – fingerprint identification, face recognition, iris verification, ear recognition, handwriting recognition, and writer identification; object recognition; medical image segmentation, enhancement and restoration; human activities recognition; data hiding – digital watermarking and steganography; image encryption; image compression; image fusion; image mining, digital image forensics; object detection, segmentation and tracking.
