It is well-known that local filtering-based edge preserving smoothing method suffers from halo artifacts. In this paper, a weighted guided image filter is introduced by incorporating an edge-aware weighting into an accessible guided image filter to address the problem. The WGIF inherit benefits of both global and local smoothing filters in the sense that: 1) the difficulty of the WGIF is O(N) f...

In this work we present a new approach to two dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based image processing algorithms it takes into consideration spatial relations between picture elements. The contribution of the sample to the model depends not only on the current residual of that sample, but also on the neig...

newspapers and past students' theses. These imaged documents will not be OCR'ed as originally planned due to the overwhelming cost involved. The images are available for public viewing and downloading. The present method will provide an automated means of retrieving similar document images from the library website without having to download every image for inspection of its content to decide it...

The reconstruction of an image u(x, y) that describes a real scene from experimental data (observed image) I(x, y) can be identified as an inverse problem. This problem is generally ill-posed in the sense of Hadamard. The regularization of an inverse problem in image processing requires smoothing homogeneous areas of the object without degrading edges. The location of these edges are unknown an...

Computer vision operates on images that usually come in the form of arrays of pixel values. These values are invariably affected by noise, so it is useful to clean the images somewhat by an operation, called smoothing, that replaces each pixel by a linear combination of some of its neighbors. Smoothing reduces the effects of noise, but blurs the image. In the case of noise suppression, blurring...

Wavelets are an increasingly widely used tool in many applications of signal and image processing. This paper reviews the basic ideas of wavelets for representing the information in signals such as time series and images, and shows how wavelet shrinkage may be used to smooth these signals. This is illustrated by application to a synthetic aperture radar image. Some guidelines on using wavelet s...