In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing in multichannel images. The proposed structure is similar to the conventional unsharp masking structure, however, the enhancement is allowed only in the direction of maximal change and the enhancement parameter is computed as a nonlinear function of the rate of change. The proposed scheme enhances...

In digital mammograms, granularity is an important image property for the detection of microcalcifications and masses. Therefore, we investigated the relationship between the conditions of various exposure doses and the detectability of RMI156 phantom images with and without image processing for the reduction of exposure dose. The images are processed with Gaussian filter and unsharp-masking fi...

tics are described in this paper. We show that anisotropic diffusion can be seen as a robust estimation procedure that estimates a piecewise smooth image from a noisy input image. The “edge-~topping~’ function in the anisotropic diffusion equation is closely related to the error norm and influence function in the robust estimation framework. This connection leads to a new “edge-stopping’’ funct...

We present techniques for performing luminance mapping and unsharp-masking-like processing on digital images; they are specifically designed for their application on bounded and on circular signals. We study the effect of gamma correction on contrast and develop an adaptive technique for luminance and contrast correction. We use the proposed tools for the enhancement of high contrast color images.

In this paper we introduce a class of morphological operators with applications to sharpening digitized grey valued images. We introduce t.he underlying partial differential equation (PDE) that governs this class of operators. For discrete implementations of the operator class! we show that instances utilizing a parabolic structuring function, have special properties that lead to an efficient i...

Most of the existing interpolation techniques available in the literature produce a blurring effect while converting a low resolution video to its high resolution counterpart. The blurring results in the loss of fine details and critical edge information of a video intra frame. In order to resolve this problem, an efficient, no reference, hybrid interpolation technique is proposed here. The pro...

Image bias is a usual phenomenon in MR imaging when using surface coils. It complicates the interpretation as well as the algorithmic postprocessing of such data. We introduce a bias correction algorithm based on homomorphic unsharp masking (HUM) that is applicable on a broad range of image types (as long as foreand background is separable), simple, fast and requires only minimal user interacti...

The linear Unsharp Masking technique used in image contrast enhancement is modiied in this paper, by introducing a control term expressed as a rational function of the local input data. In this way, noise ampliication is avoided and, at the same time, overshoot eeects on sharp edges are limited. Experimental results support the validity of the method, even as a preprocessor for interpolation sy...

Copyright ©2014 KIEEME. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. CAD for Detection of Brain Tumor Using the Symme...

Image sharpening refers to any enhancement technique that highlights edges and fine details in an image. The conventional methods for sharpening the images has several drawbacks such as, complex and slow calculations, color loss, anisotropy effects etc. In this paper, a new fuzzy filter is proposed for sharpening the color images. The sharpening fuzzy filter consists of two sub-filters. The fir...