A new steganographic method for color and grayscale image hiding
Computer Vision and Image Understanding
Review: A review on blind detection for image steganography
Signal Processing
Biometric Inspired Digital Image Steganography
ECBS '08 Proceedings of the 15th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems
Order Statistics Filters in Wavelet Domain for Color Image Processing
MICAI '07 Proceedings of the 2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session
Computer Vision and Image Understanding
Reversible color-to-gray mapping using subband domain texturization
Pattern Recognition Letters
A novel adaptive steganography based on local complexity and human vision sensitivity
Journal of Systems and Software
Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation
Journal of Visual Communication and Image Representation
BSS: Boosted steganography scheme with cover image preprocessing
Expert Systems with Applications: An International Journal
Short Communication: Multichannel image processing by using the Rank M-type L-filter
Journal of Visual Communication and Image Representation
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
Hi-index | 12.05 |
In this paper we present the color local complexity estimation based steganographic (CLCES) method that is able of both preventing visual degradation and providing a large embedding capacity. A preprocessing stage is applied in the proposed scheme to improve the steganography security. The embedding capacity of each pixel is determined by the local complexity of the cover image, allowing good visual quality as well as embedding a large amount of secret messages. We classify the pixels using a threshold based on the standard deviation of the local complexity in the cover image to provide a compromise between the embedding capacity and the image visual quality. The experimental results demonstrated that the algorithm CLCES proposed produces insignificant visual distortion due to the hidden message. It provides a high embedding capacity that is superior respect to the offered by the existing schemes. The proposed method is a secure steganographic algorithm; it can resist the image quality measures (IQM) steganalysis attack. The RGB, YCbCr, and HSV color spaces are incorporated in the proposed scheme to ensure that the difference between the cover image and the stego-image which is indistinguishable by the human visual system (HVS). Finally, the proposed scheme is simple, efficient, and feasible for the adaptive steganographic applications.