The new Kodak KAI-11000CM image sensor, a 35-mm format, 11-Megapixel interline CCD, has been characterized in terms of its performance in photography applications. Traditional sensor performance parameters are summarized in addition to photographic image quality parameters. A photographic evaluation of the sensor, including measurements of signal-to-noise ratio and color fidelity, is described....

Steganography techniques find importance in military applications because of their ability to communicate covertly. It is evident for any image steganography technique that if the payload can be represented in a smaller dimension than its original form, then the actual embedding requirement can be lessened thereby improving the statistical imperceptibility of the method. This paper presents an ...

We have developed a method for the linear reconstruction of an image from undersampled, dithered data. The algorithm, known as Variable-Pixel Linear Reconstruction, or informally as “Drizzle”, preserves photometry and resolution, can weight input images according to the statistical significance of each pixel, and removes the effects of geometric distortion both on image shape and photometry. Th...

Recently, gradient performance and fidelity has become of increasing interest, as the fidelity of the magnetic resonance (MR) image is somewhat dependent on the fidelity of the gradient system. In particular, for high fidelity non-Cartesian imaging, due to non-fidelity of the gradient system, it becomes necessary to know the actual k-space trajectory as opposed to the requested trajectory. In t...

In this paper we propose a new high capacity, low energy requirement, and robust spread spectrum watermark approach for still images. This approach uses an orthogonalisation scheme to generate a set of binary spread spectrum carriers that are able to minimize the interference of the original image on the watermark information detection, so that, more than two hundred bit capacity in a one squar...

Based on image sparse representation in the shearlet domain, we proposed a 2 1 L sparsity regularized unconvex variation model for image super-resolution. The 2 1 L regularizer term constrains the underlying image to have a sparse representation in shearlet domain. The fidelity term restricts the consistency with the measured imaged in terms of the data degradation model. Then, the variable spl...

A simple model of near-field pixel-to-pixel image transfer using magneto-inductive arrays is presented. The response of Ndimensional rectangular arrays is first found as an excitation of eigenmodes. This analytical method involves approximating the effect of sources and detectors, and replaces the problem of solving large numbers of simultaneous equations with that of evaluating a sum. Expressi...

Tone mapping operators aim to compress high dynamic range (HDR) images to low dynamic range ones so as to visualize HDR images on standard displays. Most existing works were demonstrated on specific examples without being thoroughly tested on wellestablished and subject-validated image quality assessment models. A recent tone mapped image quality index (TMQI) made the first attempt on objective...

Gaofen-4 is China's first geosynchronous orbit high-definition optical imaging satellite with extremely high temporal resolution. The features of staring imaging and high temporal resolution enable the super-resolution of multiple images of the same scene. In this paper, we propose a super-resolution (SR) technique to reconstruct a higher-resolution image from multiple low-resolution (LR) satel...

This paper deals with multi-spectral (MS) and panchromatic (Pan) image fusion based on redundant multiresolution analysis (MRA). Lower-resolution MS bands are sharpened by injecting high-pass details taken from the higher-resolution Pan image. Crucial point is modelling the relationships between detail coefficients of a generic MS band and the Pan image at the same resolution. Once calculated a...