• N. J. Satheesh Kumar
• Dr. B. Ramakrishnan

This paper presents a novel approach for lossless data embedding in Dynamic Differential Block Truncation Coding (DDBTC) compressed images using prediction and bit shifting techniques. DDBTC is a popular method known for its ease of implementation and low CPU cost, making it suitable for real-time processing applications. With the advancement of computer technology in data storage and digital processing, there is a growing demand for efficient image compression techniques to enhance the transmission and storage effectiveness. In this study, we focus on the bit rate, a key parameter of compression techniques that directly impacts efficiency and CPU utilization. By employing bilateral shifts and bitwise operations, we introduce a modified DDBTC scheme that resembles sub-band decomposition. The transformation process involves both right and left bit shifts, effectively reducing the number of bits required to represent the transformed image. This careful compression approach ensures minimal loss of information. Experimental results demonstrate that the proposed system achieves high image quality for the compressed embedded images. By leveraging the capabilities of DDBTC and incorporating prediction and bit shifting techniques, our method effectively enhances data embedding in a lossless manner. The improved compression efficiency and low computational overhead make it well-suited for real-time applications, where quick processing and optimal resource utilization are crucial.

BTC, DDBTC, lossless data embedding, bit shifting, compression techniques,

"Dynamic Differential Block Truncation Coding (DDBTC) Using Bit Shift Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.843-850, June-2018, Available :http://www.jetir.org/papers/JETIR1806925.pdf

"Dynamic Differential Block Truncation Coding (DDBTC) Using Bit Shift Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp843-850, June-2018, Available at : http://www.jetir.org/papers/JETIR1806925.pdf