This paper presents a new method for unsharp masking for contrast enhancement of
images. The approach employs an adaptive filter that controls the contribution of the …

Image enhancement is one of the most important issues in low-level image processing.
Mainly, enhancement methods can be classified into two classes: global and local methods …

In this paper, we present the adaptive bilateral filter (ABF) for sharpness enhancement and
noise removal. The ABF sharpens an image by increasing the slope of the edges without …

The aim of this paper is to present a transform-based framework for color image
enhancement which processes all three color components (R, G, B) simultaneously. In this …

We consider the problem of restoring a noisy blurred image using an adaptive unsharp
mask filter. Starting with a set of very high quality images, we use models for both the blur …

Digital imaging is omnipresent nowadays due to the expansion of the mobile device industry
and its use cases. However, the diversity of sensors and hardware limitations often lead to …

Image enhancement remains an intricate problem, crucial for image analysis. Several
algorithms exist for the same. A few among these algorithms categorize images into different …

Preprocessing is essential stage in image processing because of limitation of imaging
device or inappropriate environmental light. This paper presents a preprocessing technique …

A method for automatic phase extraction from a single fringe pattern based on the guidance
of an extreme map is introduced. The method uses an adaptive weighted filter to reduce …

This paper presents a solution to the problem of enhancing the spatial local contrast of
images with nonlinear module. The proposed method that exploits the undecimated discrete …