Position Based Coding Scheme and Huffman Coding in JPEG2000: An Experimental analysis

Abstract-The paper compares the novel method of position based coding scheme introduced recently by the authors with Huffman coding results. The results show that Position Based Coding Scheme (PBCS) is superior in terms of image compression ratio and PSNR. In PBCS, by identifying the unique elements and by reducing redundancies the coding has been performed. The results of JPEG2000 image compression with Huffman coding and the JPEG2000 based on PBCS are then compared. The results show that the PBCS has better compression ratio with higher PSNR and better image quality. The study, which can be considered as a logical extension of the image transformation matrix, applies statistical tools to achieve the novel coding scheme as a direct extension to wavelet based image compression. The coding scheme can highly economise the bandwidth without compromising on picture quality; invariant to the existing compression standards and lossy as well as lossless compressions which offers possibility for wide ranging applications

Secure Exp-Golomb Coding Using Stream Cipher

In this paper, we propose a secure Exp-Golomb coding scheme by incorporating with a stream cipher. Different from the traditional case of using stream cipher where the key stream is directly XORed with the plaintext, we here use the key stream to control the switching between two coding conventions (leading zeros and leading ones). Security analysis results show that the proposed system can provide high level of security with the same coding efficiency and negligible additional cost, compared with a regular Exp-Golomb coding. This scheme could potentially be applied to the state-of-the-art multimedia compression systems, e.g., H. 264, to offer security features