In this work we comprehensively categorize image quality measures, extend measures defined for gray scale images to their multispectral case, and propose novel image quality measures. They are categorized into pixel difference-based, correlation-based, edge-based, spectral-based, context-based and human visual system (HVS)-based measures. Furthermore we compare these measures statistically for ...

Present Embedded industry is emphasising more on Smart devices and they have gained much importance in daily life. The devices includes communication, Bio-Medical, image processing, Power, etc. While using smart devices (iButton Technology) data acquisition and user authentication has to be done.Various security concepts are developed to suite these requirement. One such security measure is usi...

The conventional approach in computational neuroscience in favor of the efficient coding hypothesis goes from image statistics to perception. It has been argued that the behavior of the early stages of biological visual processing (e.g., spatial frequency analyzers and their nonlinearities) may be obtained from image samples and the efficient coding hypothesis using no psychophysical or physiol...

There are many ways in which the human visual system works to reduce the inherent redundancy of the visual information in natural scenes, coding it in an efficient way. The non-linear response curves of photoreceptors and the spatial organization of the receptive fields of visual neurons both work toward this goal of efficient coding. A related, very important aspect is that of the existence of...

Land-use classification utilize high-resolution remote sensing image. The image is utilized for improving the classification problem. Nonetheless, in other side, the problem becomes more challenging cause the image is too complex. We have to represent the image appropriately. On of the common method to deal with it is Bag of Visual Word (BOVW). The method needs a coding process to get the final...

of project on ICA and image coding 1 Sensory Redundancy and Primary Codes Several attempts have been made to set up a theory of sensory coding in the primary visual system. Most of the proposed theories, supported by biological experiments, suggest that sensory coding is an information processing strategy which aims to reduce (or transform) redundancy, but preserve information, in order to prod...

In this paper, a new multiple description image coding scheme using directional lifting transform is proposed. The basic idea is to divide an image into two descriptions with quincunx segmentation. The traditional spatial domain multiple description image coding techniques usually result in the very low coding efficiency. To tackle this problem, we propose a directional lifting technique to ext...

Sparse coding as applied to natural image patches learns Gabor-like components that resemble those found in the lower areas of the visual cortex. This biological motivation for sparse coding would also suggest that the learned receptive field elements be organized spatially by their response properties. However, the factorized prior in the original sparse coding model does not enforce this. We ...

In model-based coding of image sequences containing human faces, eg videophone sequences, the detection and location of the face as well as the extraction of facial features from the images are crucial. The facial feature extraction can be regarded as an optimization problem, searching the optimum adaptation parameters of the model. The optimum is defined as the parameter set describing the fac...

At the present time, we stand upon the threshold of a revolution in the means available to us for the widespread dissemination of information in visual form through the rapidly increasing use of international standards for image and video compression. Yet, such standards, as observed by the casual user, are only the tip of the coding iceberg. Something like half a century of scientific and tech...