Due to the limitations of image-capturing devices or the presence of a non-ideal
environment, the quality of digital images may get degraded. In spite of much advancement …

Traditional image enhancement techniques produce different types of noise such as
unnatural effects, over-enhancement, and artifacts, and these drawbacks become more …

Despite lots of effort being exerted in designing feature descriptors, it is still challenging to
find generalized feature descriptors, with acceptable discrimination ability, which are able to …

This paper proposes a Noise Adaptive Binary Pattern (NABP) for facial image analysis such
as face recognition, expression recognition and gender classification. NABP encodes the …

The enhancement of images captured under low-light conditions plays a vitally important
role in the area of image processing and can significantly affect the performance of following …

Many algorithms to enhance low-light images have been proposed. They often assume that
low-light images are clean. However, images acquired in low-light environments often …

Various methods have been proposed for enhancing the images. Some of those perform
well in some specific application areas but most of the techniques suffer from artifacts due to …

Gender recognition from facial images has become an empirical aspect in present world. It is
one of the main problems of computer vision and researches have been conducting on it …

An effective method to enhance the contrast of digital images is proposed in this paper. A
histogram function is developed to make the histogram curve smoother, which can be used …

Overall enhancement for poorly illuminated images is one of the most challenging issues.
The degraded images suffer from different aspects of low contrast, color saturation …