Modified curvature motion for image smoothing and enhancement

Modified curvature motion for image smoothing and enhancement

In this paper, we formulate a general modified mean curvature based equation for image smoothing and enhancement. The key idea is to consider the image as a graph in some R(n), and apply a mean curvature type motion to the graph. We will consider some special cases relevant to grey-scale and color images.

Image smoothing and enhancement via mm/max curvature flow

We present a class of PDE-based algorithms suitable for a wide range of image processing applications. The techniques are applicable to both salt-and-pepper grey-scale noise and full-image continuous noise present in black and white images, grey-scale images, texture images and color images. At the core, the techniques rely on a level set formulation of evolving curves and surfaces and the visc...

PAIRED ANISOTROPIC DISTRIBUTION FOR IMAGE SELECTIVE SMOOTHING

‎In this paper‎, ‎we present a novel approach for image selective smoothing by the evolution of two paired nonlinear‎ ‎partial differential equations‎. ‎The distribution coefficient in de-noising equation controls the speed of distribution‎, ‎and is‎ ‎determined by the edge-strength function‎. ‎In the previous works‎, ‎the edge-strength function depends on isotropic‎ ‎smoothing of the image‎...

Image Enhancement Using Smoothing with Fuzzy Sets

A model for grey-tone image enhancement using the concept of fuzzy sets is suggested. It involves primary enhancement, smoothing, and then final enhancement. The algorithm for both the primary and final enhancements includes the extraction of fuzzy properties corresponding to pixels and then successive applications of the fuzzy operator "contrast intensifier" on the property plane. The three di...

Modified Mean Curvature Motion For Multispectral Anisotropic Diffusion