Gaussian filter is widely used for image smoothing but it is well known that this type of filters blur the image features (e.g., edges). Two extensions of Gaussian filters will be discussed in this survey. One is the anisotropic filtering (bilateral filtering or PDE-based anisotropic diffusion) for feature-preserving smoothing and the other is the recursive implementation of various filters tha...

-This paperdescribes the various image filtering algorithms and techniques used for image filtering/smoothing. Image smoothing is one of the most important and widely used operation in image processing .We have explained various algorithms and techniques for filter the images and which algorithm is the be the best for smoothing and filtering the images, especially we have mainly concentrate on ...

This paper presents an interactive image-smoothing tool based on properlies and manipulation of image level sets. This tool uses PDE-based level-set smoothing to preserve edge sharpness while smoothing noise and jagged contours. Unlike existing approaches using PDEs. the duration and areas of application are controlled interactively with immediate feedback to the user. Interaction issues are ad...

Inpainting and denoising are two important tasks in the field of image processing with broad applications in image and vision analysis. In this paper, we present a new approach for image restoration. Our method simultaneously fills in missing, corrupted, or undesirable information while it removes noise. The denoising is performed by the smoothing equation working inside and outside of the inpa...

Surface estimation is important in many applications. When conventional smoothing procedures, such as the running averages, local polynomial kernel smoothing procedures, and smoothing spline procedures, etc., are used for estimating jump surfaces from noisy data, jumps would be blurred at the same time when noise is removed. In recent years, new smoothing methodologies have been proposed in the...

To avoid distorting the visual information in an image, smoothing algorithms must preserve the details. However, some fine details are frequently treated as noise by general smoothing filters. In such situations,we encounter the problem of ambiguity or uncertainty between noise and fine details. A new nonlinear smoothing method using fuzzy reasoning techniques is proposed. Fuzzy set theory [1,2...