Data Embedding Using Block Truncation Coding

     في هذا البحث تم تقديم طريقة إخفاء البيانات التي تخفي البيانات في مجال الضغط. تستخدم طريقة ترميز اقتطاع الكتلة (BTC) لإخفاء المعلومات. النقطة الأساسية في الطريقة المقترحة هي أن يتم تطبيقها أولاً باستخدام ترميز اقتطاع الكتلة التقليدية ثم يتم تطبيقه لاحقًا باستخدام ترميز اقتطاع الكتلة المحسن(IBTC)  .تظهر النتائج التجريبية أن IBTC تمكن من اخفاء كمية كبيرة من البيانات في الملف المضغوط مع الحفاظ على جودة صورة مرضية.In this paper, a data hiding method is presented that hide the data in the compression domain. The Block Truncation Coding (BTC) method is used for hiding the information. The key point of the proposed method is to first apply traditional Block Truncation Coding and later it applied using Improved Block Truncation Coding (IBTC). Experimental results show that IBTC can embed a large amount of data in the compressed file while maintaining satisfactory image quality

A Steganographic Method for Hiding Secret Data Using Side Match Vector Quantization

[[abstract]]To increase the number of the embedded secrets and to improve the quality of the stego-image in the vector quantization (VQ)-based information hiding scheme, in this paper, we present a novel information-hiding scheme to embed secrets into the side match vector quantization (SMVQ) compressed code. First, a host image is partitioned into nonoverlapping blocks. For these seed blocks of the image, VQ is adopted without hiding secrets. Then, for each of the residual blocks, SMVQ or VQ is employed according to the smoothness of the block such that the proper codeword is chosen from the state codebook or the original codebook to compress it. Finally, these compressed codes represent not only the host image but also the secret data. Experimental results show that the performance of the proposed scheme is better than other VQ-based information hiding scheme in terms of the embedding capacity and the image quality. Moreover, in the proposed scheme, the compression rate is better than the compared scheme