Data Hiding Scheme For Side Match Vector Quantization and Arnold Decoding
نویسندگان
چکیده
منابع مشابه
Data Hiding Scheme For Side Match Vector Quantization and Arnold Decoding
In any communication, security is the most important issue in today’s world. Security and data hiding algorithms have been developed, which worked as motivation for the research. This project is a data hiding by using side match vector quantization algorithm may used for data hiding scheme, which provides a strong backbone for its security. The scenario of present day of information security sy...
متن کاملAn Indicator Elimination Method for Side-match Vector Quantization
The vector quantization (VQ) concept is widely used in many applications. Side-match vector quantization (SMVQ) is a VQ-based image compression method that offers significantly improved performance of compression rate while maintaining the image quality of decompressed images. To eliminate distortion propagation, SMVQ requires one extra bit to serve as an indicator identifying which blocks are ...
متن کاملAn error resilient coding scheme for JPEG image transmission based on data embedding and side-match vector quantization
For an entropy-coded Joint Photographic Experts Group (JPEG) image, a transmission error in a codeword will not only affect the underlying codeword but also may affect subsequent codewords, resulting in a great degradation of the received image. In this study, an error resilient coding scheme for JPEG image transmission based on data embedding and side-match vector quantization (VQ) is proposed...
متن کاملOrthogonal Polynomials based Image coding scheme using Side-Match Finite-State Classified Vector Quantization and SVM
In the previous chapters, orthogonal polynomials based image coding techniques with scalar quantization and vector quantizations were presented. The main drawback of these techniques was the edge degradation in the reconstructed image. Edges constitute a significant portion of the information content of an image and their degradation is visually annoying. To overcome this problem, a new image c...
متن کاملAdaptive Initial Blocks for Improving Gradient-Match and Side-Match Vector Quantization of Images
The selection of the initial blocks is one of the important issues in the finite-state vector quantizers (FSVQs) for images. Conventional FSVQs use the blocks located at fixed positions as the initial blocks, which then are coded by the codewords in the super codebook. In this paper, we proposed the adaptive-initial-block (AIB) scheme to determine the initial blocks for gradient-match (GM) and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
سال: 2014
ISSN: 2320-3765,2278-8875
DOI: 10.15662/ijareeie.2014.0308085