A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A New Image Steganography Based on 2k Correction and Edge-Detection
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Salient region detection and segmentation
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Automatic foveation for video compression using a neurobiological model of visual attention
IEEE Transactions on Image Processing
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Steganography is a process that involves hiding a message in an appropriate carrier for example an image or an audio file. Many algorithms have been proposed for this purpose in spatial and frequency domain. But in almost all the algorithms, it has been noticed that as we embed the secret data in the image certain characteristics or statistics of the image get disturbed. To deal with this problem, we have another paradigm named as adaptive steganography which is based upon some mathematical model. For this mode of steganography, we have already proposed the use of saliency map as mathematical model for hiding the secret data. Saliency map is a feature map that highlights the attention region of an image. In this work, we will propose a technique which uses saliency map as a model to hide the secret bits of data.