A general framework simultaneously addressing pose estimation, 2D segmentation, object recognition, and 3D reconstruction from a single image is introduced in this paper. The proposed approach partitions 3D space into voxels and estimates the voxel states that maximize a likelihood integrating two components: the object fidelity, that is, the probability that an object occupies the given voxels...

This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The new denoising technique performs well in terms of image visual fidelity, and in terms of PSNR values, the new technique compares very well against some of the most recently published denoising algorithms.

Image fusion is a critical issue for remote sensing, and many algorithms have been developed. Image quality assessment of fused image might provide comparison between fusion methods, but the conclusion is not so general because different test images would lead to different assessment results. The paper studies on the relationships between image fusion methods aiming to reveal the nature of vari...

Fractal Video Compression (FVC) is of extensive interest for over 20 years. Instead of being implemented on square image structure, Spiral Architecture (SA) based fractal image compression is proposed in this paper to illustrate the great potential of FVC on SA. Conceptually, a new definition of range block and domain block is presented on this enhanced image structure. Compared with the conven...

Sachin Goyal Department of Information Technology U.I.T, R.G.P.V, Bhopal Roopam Gupta Department of Information Technology U.I.T, R.G.P.V, Bhopal ABSTRACT Digital media security is the principal concern in the today’s technological world. Due to easy production, transmission and dissemination of digital data, security threats occur while dealing with digital data. Digital watermarking is one o...

Turbulence-degraded image frames are distorted by both turbulent deformations and space-timevarying blurs. To suppress these effects, we propose a multi-frame reconstruction scheme to recover a latent image from the observed image sequence. Recent approaches are commonly based on registering each frame to a reference image, by which geometric turbulent deformations can be estimated and a sharp ...

Each row shows few spatial frames and the image time profile. We observe a similar behavior as seen in fig.1. k-t FOCUSS showed some temporal blur (see yellow arrow in (b)). BCS had better temporal fidelity but suffered from noisy artifacts (see arrows in (c) due to learning noisy patterns. Sparse BCS resulted in reconstructions with reduced noise like artifacts without compromising on the spat...

This study explores the volumetric reconstruction fidelity attainable using tomosynthesis with a kV imaging system which has a unique ability to rotate isocentrically and with multiple degrees of mechanical freedom. More specifically, we seek to investigate volumetric reconstructions by combining multiple limited-angle rotational image acquisition sweeps. By comparing these reconstructed images...

Variational models for image and signal denoising are based on the minimization of energy functionals consisting of a fidelity term together with higher-order regularization. In addition to the choices of function spaces to measure fidelity and impose regularization, different scaling exponents appear. In this note we present a few simple, yet novel, remarks on (i) the stability with respect to...

In multi-frame Super-Resolution (SR) image reconstruction a single High-Resolution (HR) image is created from a sequence of Low-Resolution (LR) frames. This work considers stochastic regularized multi-frame SR image reconstruction from the data-fidelity point of view. In fact, a novel estimator named  inv L1 norm is proposed for assuring fidelity to the measured data. This estimator presents t...