Anatomic modeling from unstructured samples using variational implicit surfaces
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
A high quality steganographic method with pixel-value differencing and modulus function
Journal of Systems and Software
Lossless Data Hiding Based on Difference Expansion without a Location Map
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 2 - Volume 02
Multiple layer data hiding scheme for medical images
Computer Standards & Interfaces
DE-based reversible data hiding with improved overflow location map
IEEE Transactions on Circuits and Systems for Video Technology
JPEG2000 ROI coding method with perfect fine-grain accuracy and lossless recovery
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Reversible data hiding based on block median preservation
Information Sciences: an International Journal
A high quality image sharing with steganography and adaptive authentication scheme
Journal of Systems and Software
A Novel Difference Expansion Transform for Reversible Data Embedding
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Multimedia
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication
IEEE Transactions on Circuits and Systems for Video Technology
A novel reversible image authentication scheme for digital images
Signal Processing
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Enormous demands for recognizing complicated anatomical structures in medical images have been demanded on high quality of medical image such as each pixel expressed by 16-bit depth. Now, most of data hiding algorithms are still applied in 8-bit depth medical images. We proposed a histogram shifting method for image reversible data hiding testing on high bit depth medical images. Among image local block pixels, we exploit the high correlation for smooth surface of anatomical structure in medical images. Thus, we apply a different value for each block of pixels to produce a difference histogram to embed secret bits. During data embedding stage, the image blocks are divided into two categories due to two corresponding embedding strategies. Via an inverse histogram shifting mechanism, the original image will be accurately recovered after the hidden data extraction. Due to requirements of medical images for data hiding, we proposed six criteria: (1) well-suited for high quality medical images, (2) without salt-and-pepper, (3) applicable to medical image with smooth surface, (4) well-suited sparse histogram of intensity levels, (5) free location map, (6) ability of adjusting data embedding capacity, PSNR and Inter-Slice PSNR. We proposed a data hiding methods satisfying above 6 criteria.