VQ-Based Image Watermarking Using Anti-Gray Coding

A Novel VQ-Based Watermarking Scheme with Genetic Codebook Partition

To enhance the traditional vector quantisation (VQ) system by adding the watermarking ability, a digital image watermarking scheme, which modifies the VQ indices to carry watermark bits, is presented. This scheme partitions the main codebook into two subcodebooks by referring to the user-key. Then, for each input vector of the cover image, a subcodebook is selected according to the watermark bi...

Image vector quantization using geometric transform and lossless index coding

We propose an efficient image-coding scheme based on vector quantization (VQ). Typically, image qualities of the compressed images by using VQ are restricted by the codebook used. To provide better image qualities of the compressed images while keeping low bit rates, encoding the geometric transformed image block is associated with VQ. To cut down the bit rates, the index table is further proce...

Lossless Index Coding for Image Vector Quantization Using Huffman Codes

Image vector quantization (VQ) has many current and future envisioned applications, such as digital image and signal compression, watermarking, data hiding, speaker identification. The idea of lossless index coding is to enhance the performance of image VQ by further encoding the index map of the VQ without introducing extra distortion. A novel lossless index coding scheme, called Index Associa...

Intelligent scalable image watermarking robust against progressive DWT-based compression using genetic algorithms

Image watermarking refers to the process of embedding an authentication message, called watermark, into the host image to uniquely identify the ownership. In this paper a novel, intelligent, scalable, robust wavelet-based watermarking approach is proposed. The proposed approach employs a genetic algorithm to find nearly optimal positions to insert watermark. The embedding positions coded as chr...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models