… statistical measures. This paper presents new quantitative measures of image enhancement
and novel frequency domain based image enhancement methods for object detection and …

… A wide range of image characteristics can be obtained … to measure signal/image enhancement
called EME. This helps choose the best parameters and transform for each enhancement. …

… of adaptive image processing has recently crystallized to the notion of convergent image
processing algorithms: We have to make sure that we converge to the same image quality (IQ) …

… To illustrate the introduced above measures of image enhancement, we consider the
image fn,m given in Fig. 2. The curve of the enhancement measure EMEF (α) for this image is …

… method that can utilize any combination of enhancement algorithms for an … new quantitative
measures of image enhancement, called the logarithmic Michelson contrast measure (AME) …

… Rather, we use it as a platform for digital image enhancement by synthesizing local contrast
improvement, color constancy, and lightness/color rendition. The intent is to transform the …

… commonly used image enhancement measures and present a new quantitative measure.
Many … In order to measure image enhancement, a larger number must be returned for a better …

… First, it can be used to dynamically monitor and adjust image quality; second, it can be used
… of image processing systems; third, it can be used to benchmark image processing systems …

… Histogram equalization (HE) is a very popular image contrast enhancement technique. It
is widely used in various fields such as radar and medical image processing. However, HE is …

… This measure is a Michelson-like contrast measure for which a direct image enhancement …
Accordingly, we propose a new direct multi-scale image enhancement algorithm based on the …