An Efficient Method for Improving Hiding Capacity for JPEG2000 Images

Abstract

Information hiding techniques have recently become important in a number of application areas. The redundancy of digital media, as well as the characteristic of human visual system, makes it possible to hide messages. In this paper, a detailed review on various information hiding techniques discussed both in spatial and wavelet domain and focused on the problem of how to enhance the hiding capacity for JPEG2000 images as it is really a challenging problem because of limited redundancy and bit stream truncation. Spatial domain techniques spanning from Least Significant Bit (LSB) method, Least Pixel Adjustment Process (LPAP), and wavelet-based techniques include, Discrete Cosine Transform (DCT) method, Discrete Wavelet Transform (DWT) based techniques and spread spectrum techniques. Finally, JPEG2000 Architecture and high capacity steganography scheme for JPEG2000 Baseline system are described. Hiding capacity is very important for efficient covert communications. Available redundancy is very limited in JPEG2000 compressed images. So it is necessary to enlarge the hiding capacity and also it is very difficult to hide the information because of the bit stream truncation. Here a high-capacity steganography scheme is proposed for JPEG2000 baseline system, which uses bit-plane encoding procedure multiple times to solve the problem due to bit stream truncation and redundancy evaluation method, is used to increase hiding capacity.