Image steganography using F5 algorithm

One approach used to protect confidential data from unauthorised usage is steganography. The process of extracting the concealed text from a stego picture is called steganalysis. This research proposes a steganalysis based on the image's DCT value. The F5 algorithm for steganography is more secure than other algorithms. In this research, we offer a steganalytic approach that uses the steganographic algorithm F5 to consistently detect messages (and estimate their size) buried in JPEG images. Estimating the cover-image histogram from the stego- image is a crucial component of the methodology. To achieve this, the stegoimage is first decompressed, then it has four pixels cropping in each direction to eliminate final step is frequency domain quantisation, followed by recompression using the same quality factor as the stegoimage. Using the least square fit method, the quantity of relative modifications brought about by F5 is ascertained by contrasting the calculated histograms of specific coefficients of DCT using the stego picture. According to experimental findings, it is possible to successfully identify relative alterations as tiny as 10% of the usable DCT coefficients. A wide range of test photos, including both raw and modified JPEG and BMP files, are used to evaluate the technique. To increase embedding performance, F5 uses matrix encoding. As a result, fewer adjustments are required. Permutative straddling is used by F5 to evenly distribute the modifications throughout the whole steganogram. In this study, we also present a method for compressing a message or doc file into a picture, audio file, or video.