For good image quality using ultrasound inverse scattering, one alternately solves the well-posed forward scattering equation for an estimated total field and the ill-posed inverse scattering equation for the desired object property function. In estimating the total field, error or noise contaminates the coefficients of both matrix and data of the inverse scattering equation. Previous work on i...

Image alignment is often performed using variants of the Lucas-Kanade algorithm [3]. Among these variants, the inverse compositional (IC) [1] method and the efficient second-order minimization (ESM) [2] method are the most efficient variants. While ESM is computationally more efficient for 2D image alignment problems such as homographies, IC is more computationally efficient for image alignment...

In recent years inverse tone mapping techniques have been proposed for enhancing low-dynamic range (LDR) content for a high-dynamic range (HDR) experience on HDR displays, and for image based lighting. In this paper, we present a psychophysical study to evaluate the performance of inverse (reverse) tone mapping algorithms. Some of these techniques are computationally expensive because they need...

Retina imaging technology is an effective control method for early diagnosis and early treatment of the diabetic retinopathy. In this paper, a fast robust inverse diffusion equation combining a blockwise filtering is presented to detect and evaluate diabetic retinopathy using retinal image enhancement. A flux corrected transport technique is used to control diffusion flux adaptively, which elim...

It is well-known that an image can be reconstructed from an infinite set of moments. Many works have focused on the reconstruction aspects of orthogonal moments, and have shown that the image can be reconstructed easily from a finite set of orthogonal moments. However, reconstruction ability of geometric moments is not yet proved. In this paper, the inverse problem of geometric moments is addre...

We introduce an image-based method for modeling a specific subject’s hair. The principle of the approach is to study the variations of hair illumination under controlled illumination. The use of a stationary viewpoint and the assumption that the subject is still allows us to work with perfectly registered images: all pixels in an image sequence represent the same portion of the hair, and the pa...

With the development of charge-coupled device (CCD) camera based non-contact fluorescence molecular tomography (FMT) imaging systems, multi projections and densely sampled fluorescent measurements used in subsequent image reconstruction can be easily obtained. However, challenges still remain in fast image reconstruction because of the large computational burden and memory requirement in the in...

In this paper, we present a new method to recover an approximation of the bidirectional reflectance distribution function (BRDF) of the surfaces present in a real or synthetic scene. This is done from a single photograph and a 3D geometric model of the scene. The result is a full model of the reflectance properties of all surfaces, which can be rendered under novel illumination conditions with,...

A new class of algorithms for image decomposition, named Inverse Pyramid Decomposition (IPD), is explored in this work. The algorithms of this class, developed and analyzed in the present work, are based on image approximation in the pyramid levels with a set of models. The algorithm for pyramid decomposition, known as Reduced Difference Pyramid (RDP) [2], which is the closest of the same class...