No abstract

Since computer utilization is expanding, for both social and trade ranges, secure communications through channels got to be an exceptionally critical issue. Information hiding away could be a strategy to get a secure communication medium and securing the data amid transmission. Text documents have very less redundant information as compared to the images and audio, therefore, text steganography is most challenging. This paper aims to improve “text steganography based on Unicode of characters in multilingual” by design new font with special properties for purposes of hiding data. Furthermore, this method based on making the same glyphs for the multiple codes, the Set of High-Frequency Letters called SHFL in the English language was chosen for the embedding process. The hiding method replaces the code of English symbol with other code that has the same glyph exactly. Two bits are hidden at once, utilizing glyph1 for hiding 00 and utilizing glyph2, glyph3, and glyph4 for hiding 01, 10, and 11. The improvement increases the steganography capacity, transparency and improves the security and robustness of the text stego file.

Image compression depends on data compression of digital images. Its central objective is to decrease the redundancy of the image data for reducing space and the cost of transmitting data in public communication channels. This research suggests a new compression technique based on the statistical rules. The proposed technique is one of the lossy compression techniques is based upon the statistics of the pixel values of the gray-scale image. The quality of these compressed images have been evaluated using some factors like the Image size before/after the compression process, Compression Ratio, (CR), and Peak Signal to Noise Ratio, (PSNR), Mean Square Error (MSE), and Mean Space Saving (MSS). Experimental results have demonstrated that the proposed technique provides sufficient higher compression with minimal to lose data.