An adaptive algorithm for embedding information into compressed JPEG images using the QIM method
This paper addresses the problem of increasing the security of information embedding in JPEG images for steganography, which is an incremental improvement.
This paper proposes an adaptive algorithm for embedding information into compressed JPEG images using the QIM method. It addresses the vulnerability to statistical steganalysis by employing a variable quantization step, adaptively selected for each block of the JPEG cover image, which successfully increases embedding security.
The widespread use of JPEG images makes them good covers for secret messages storing and transmitting. This paper proposes a new algorithm for embedding information in JPEG images based on the steganographic QIM method. The main problem of such embedding is the vulnerability to statistical steganalysis. To solve this problem, it is proposed to use a variable quantization step, which is adaptively selected for each block of the JPEG cover image. Experimental results show that the proposed approach successfully increases the security of embedding.