In this paper, an effective method was introduced to steganography of text document in the host image. In the available steganography methods, the message has a random form. Therefore, the embedding capacity is generally low. In the proposed method, the main underlying idea was the sparse property of scanned documents. The scanned documents were converted from gray-level form to binary values by halftoning idea and then the information-included parts were extracted using the improved quadtree and separated from document context. Next, in order to compress the extracted parts, an algorithm was proposed based on reading the binary string bits, ignoring the zero behind the number, and converting them to decimal values. Embedding capacity of the proposed method is higher than that of other available methods with a random-based message. Therefore, the proposed method can be used in the secure and intangible transfer of text documents in the host image.
Abstract It is a hot topic in the design of information hiding algorithm by a combination of compressed technique and interpolation technique in the future. Higher capacity and better image quality are one of the foremost research contents of information hiding. In recent years, an adaptive information hiding has been a hot content of research in the field of information hiding and network security. This paper proposed an adaptive image steganography using absolute moment block truncation coding compression (AMBTC compression) and interpolation technique (ASAI), which can improve the performance of information hiding scheme. The ASAI scheme proposed can offer the benefits of high embedding capacity with low computational complexity and good image quality. The experimental results demonstrate that the proposed ASAI scheme has superior performance than others.