Digital image processing is at the base of everyday applications aiding humans in several
fields, such as underwater monitoring, analysis of cultural heritage drawings, and medical …

Random spray retinex (RSR) is an effective image enhancement algorithm owing to its
effectiveness in improving the image quality. However, the computing complexity of the …

Retinex theory is developed mainly to decompose an image into the product of illumination
and reflectance based on local derivatives, in which smaller derivatives are given to the …

The performance of an image enhancer is usually evaluated either perceptually or
functionally. The perceptual evaluation is carried out from a human perspective, ie by …

A topic of continued interest in Retinex over the years has been finding ways to implement it
with computational models of improved accuracy and efficiency. We have devised a new …

In machine vision, the idea of expressing the quality of a films by a single value is very
popular. Usually this value is computed by processing a set of image features with the aim of …

The image contrast is a feature capturing the variation of the image signal across the space.
Such a feature is very useful to describe the local image structure at different scales and thus …

Milano Retinexes are spatial color algorithms grounded on the Retinex theory and widely
applied to enhance the visual content of real-world color images. In this framework, they …

The Retinex theory, originally developed by Land and McCann as a computation model of
the human color sensation, has become, with time, a pillar of digital image enhancement. In …

The enhancement of low-quality images is both a challenging task and an essential
endeavor in many fields including computer vision, computational photography, and image …