\Approximation of functionals depending on jumps by elliptic functionals via ?-convergence", Comm. \Existence theorem for a minimum problem with free discontinuity set", Arch. \Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space", IEEE ICIP'98, Chicago, 1998. 10 one dimensional curves as expected. The reason is our numerical approximation for E. We u...

We develop and demonstrate automatic image description methods using a large captioned photo collection. One contribution is our technique for the automatic collection of this new dataset – performing a huge number of Flickr queries and then filtering the noisy results down to 1 million images with associated visually relevant captions. Such a collection allows us to approach the extremely chal...

A multichannel blind deconvolution and image denoising method based on the Mutually Referenced Equalizers (MRE) approach is proposed. The main idea is to exploit the information diversity conveyed by the channels in order to estimate the degradations and the original signal. In the noiseless case a perfect restoration is obtained. To deal with the noisy case, a regularization term is introduced...

Noisy textures in images pose a particular problem to image compression as they are not well suited for decorrelation. Established image compression methods thus need to be driven at relatively high bit rates in order to achieve visually transparent compression of this type of signal. At the same time, it is an intuitive observation that pixel-wise exactness of the reconstruction of noisy textu...

An adaptive decision based inverse distance weighted interpolation (DBIDWI) algorithm for the elimination of highdensity salt and pepper noise in images is proposed. The pixel is initially checked for salt and pepper noise. If classified as noisy pixel, replace it with an inverse distance weighted interpolation value. This interpolation estimates the values of corrupted pixels using the distanc...

Image noise ltering has been widely perceived as an estimation problem in the spatial domain. In this paper, we deal with it as an estimation problem in an uncorrelated transform domain. This idea leads to a generalization of the adaptive LMMSE estimator for ltering noisy images. In our proposed method, the transform-domain local statistics obtained from the noisy image are exploited. Due to th...

| Image noise ltering has been widely perceived as an estimation problem in the spatial domain. We deal with it as an estimation problem in an uncorrelated transform domain. This idea leads to a generalization of the adaptive LMMSE estimator for ltering noisy images. In our proposed method, the transform-domain local statistics obtained from the noisy image are exploited. Due to the fact that t...

This paper presents a new iris database that contains images with noise. This is in contrast with the existing databases, that are noise free. UBIRIS is a tool for the development of robust iris recognition algorithms for biometric proposes. We present a detailed description of the many characteristics of UBIRIS and a comparison of several image segmentation approaches used in the current iris ...

In this paper we propose a new theory of the Gestalt law of good continuation. In this theory perceptual processes are modeled by an exponential pyramid algorithm. To test the new theory we performed three experiments. The subject's task was to detect a target (a set of dots arranged along a straight or curved line) among background dots. Detectability was high when: (a) the target was long; (b...

C. Tanriover, P. Chippendale, B. Honary Lancaster University 1. Abstract This paper explores the application of an error resilient coding scheme to image transmission over noisy channels. To improve performance at low signal-to-noise ratios turbo coding is applied. Demonstrated through simulations, this novel combination is shown to correct and restrict errors incurred during transmission over ...