Abstract
The steganographic schemes embed secret data in the location of cover image generated by pseudo random number generator. These kinds of algorithms do not evaluate the content and size of the secret message during embedding. It creates distortion in smooth region of cover image and results in secret data loss. In order to solve the above issues, high-capacity novel region-based spatial fusion steganographic scheme is proposed in this paper. This spatial fusion decomposes the image into various regions based on the level of intensity. It is extensively used to evaluate the capacity of region for high payload. Size and type of secret data is initialised as a key for the extraction to improve the confidentiality and privacy. Then the secret message with key is embedded by differentiating the pixel by 1 with constraints not equal to 0 and even or odd option which leads to less rate of modification. The proposed scheme is applied in the region of blue channel which is less sensitive to human visual system gives high imperceptibility to secret data. It is experimented with standard IST natural images by steganalysis algorithms results in better enhancement of security and quality in terms of imperceptibility and embedding capacity when compare to other LSB approaches.
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