Recently, due to the existence of semantic gap between image visual features and human concepts, the semantic of image auto-annotation has become an important topic. Firstly, by extract low-level visual features of the image, and the corresponding Hash method, mapping the feature into the corresponding Hash coding, eventually, transformed that into a group of binary string and store it, image a...

The usual attractor coding technique is to partition a given image into a number of non-overlapping range blocks. Each block of the partition is expressed as the contractive transformation of another part of the image. However, the non-overlapping partitioning induces blocking artifacts which is highly disturbing to human visual system. In this work, a novel coding scheme using iterated functio...

In this paper, we propose an adaptive algorithm for scalable wavelet image coding, which is based on the general feature, the regularity, of images. In pattern recognition or computer vision, regularity of images is estimated from the oriented wavelet coefficients and quantified by the Lipschitz exponents. To estimate the Lipschitz exponents, evaluating the interscale evolution of the wavelet t...

This paper addresses the most relevant aspects of lossy image coding techniques, and presents an evaluation study on this subject, using several transforms and different methods in the transform domain. We developed different transform based image coders/decoders (codecs) using different transforms, such as the discrete cosine transform, the discrete wavelet transform and the S transform. Besid...

In wavelet-based image coding the choice of wavelet is crucial and determines the coding performance. The current compression techniques involve time taking procedures to find out the optimal basis. In this paper, we show that Sym 5 represents the best results for compression and denoising of natural images. The performance of compression is measured in terms of CR and PSNR and it is analyzed t...

Shannon theory, Source coding, Data compression, Channel coding, Coding theory, Communication theory, Coding and modulation, Transmission technology, Wireless communications, Optical communications, Detection and estimation, Stochastic processes, Sequence design and analysis, Cryptography, Information-theoretic security, Information theory in networks, Network coding, Quantum information theory...

As 2-D image communication systems come into use widely, 3-D imaging technology enhancing the reality of visual communication is getting to be considered as a promising next-generation medium that can revolutionize information systems. To date, 3-D image communication has not been discussed at a comprehensive level because several kinds of promising 3-D display technologies are still making rap...

New methods for recognition of range images based on correlation are presented. The techniques allow the detection of a range image of a tridimensional pattern whatever its position along the x , y and z axes. The first method uses the phase-coding of the range image in order to obtain invariance along the z -axis in the correlation process. The second method uses the sine-coding of the range i...

This paper proposes a new non-negative sparse coding (NNSC) model. And using this model, the features of natural image are extracted successfully. As a practical application, how to reduce noise added in a natural image is also discussed. Our assumptions are that the image is corrupted by additive and multiplicative white Gaussian noise and uniform distribution random noise. According to our ex...