Robust watermarks are evaluated in terms of image fidelity and robustness. We extend this framework and apply reliability testing to robust watermark evaluation. Reliability is the probability that a watermarking algorithm will correctly detect or decode a watermark for a specified fidelity requirement under a given set of attacks and images. In reliability testing, a system is evaluated in ter...

In this work, a watermarking algorithm is proposed using Genetic algorithm and discrete wavelet transformation. The algorithm proposed is to improve both robustness and fidelity of the watermarked image. Fuzzy Inference system is used to determine the embedding strength based on HVS properties of the image. To test the robustness different attacks are performed and the NC (Normalized cross corr...

In this paper we propose a novel watermarking scheme for image authentication with region of interest (ROI). The watermark is embedded in a non−ubiquitous way avoiding degrading the fidelity of selected image regions, while still providing an integrity protection for the whole image including these regions. The localization resolution of tampered areas remains equal inside and outside of the wa...

This paper asks how the vision community can contribute to the goal of achieving perceptually lossless image fidelity with maximum compression. In order to maintain a sharp focus the discussion is restricted to the JPEG-DCT image compression standard. The numerous problems that confront vision researchers entering the field of image compression are discussed. Special attention is paid to the co...

Diffractive optical elements (DOEs) have recently drawn great attention in computational imaging because they can drastically reduce the size and weight of imaging devices compared to their refractive counterparts. However, the inherent strong dispersion is a tremendous obstacle that limits the use of DOEs in full spectrum imaging, causing unacceptable loss of color fidelity in the images. In p...

We describe a new implementation of an adaptive multi-tissue tetrahedral mesh generator targeting anatomic modeling of Arteriovenous Malformation (AVM) for surgical simulations. Our method, initially constructs an adaptive Body-Centered Cubic (BCC) mesh of high quality elements. Then, it deforms the mesh surfaces to their corresponding physical image boundaries, hence, improving the mesh fideli...

PURPOSE Standard image reconstruction methods for fluorescence Diffuse Optical Tomography (fDOT) generally make use of L2-regularization. A better choice is to replace the L2 by a total variation functional that effectively removes noise while preserving edges. Among the wide range of approaches available, the recently appeared Split Bregman method has been shown to be optimal and efficient. Fu...

X-ray computed tomography (CT) iterative image reconstruction from sparse-view projection data has been an important research topic for radiation reduction in clinic. In this paper, to relieve the requirement of misalignment reduction operation of the prior image constrained compressed sensing (PICCS) approach introduced by Chen et al, we present an iterative image reconstruction approach for s...

In image processing, image similarity indices evaluate how much structural information is maintained by a processed image in relation to a reference image. Commonly used measures, such as mean squared error (MSE) and peak signal to noise ratio (PSNR), ignore the spatial information (e.g. redundancy) contained in natural images, which can lead to an inconsistent similarity evaluation from the hu...

In this paper, we propose an enhanced Fractal Image Compression (FIC) approach. In this method, the original image is represented by a provisional image and a difference image, which records the difference between the original and provisional image. With the less number of domain blocks required to do the best match search, the encoding time can be reduced by about 30% with a tolerance loss in ...