In this paper we are proposing the use of GIMP Retinex, a filter of the GNU Image Manipulation Program, for enhancing foggy images. This filter involves adjusting four different parameters to find the output image which has to be preferred according to some specific purposes. Aiming to obtain a processing, which is able of choosing automatically the best image from a given set, we are proposing...

In order to investigate the local filtering behavior of the Retinex model, we propose a new implementation in which paths are replaced by 2-D pixel sprays, hence the name “random spray Retinex.” A peculiar feature of this implementation is the way its parameters can be controlled to perform spatial investiga-tion. The parameters’ tuning is accomplished by an unsupervised method based on quantit...

In this paper, the study of the effects of illumination changes in the process of face recognition is discussed. Additionally, a new methodology that integrates Single-Scale Retinex (SSR) and Scale Invariant Feature Transform (SIFT) is presented. The proposed methodology addresses the problem of illumination changes in face recognition-based authentication systems. To do this, the SSR transform...

Although Convolution Neural Networks (CNNs) have made substantial progress in the low-light image enhancement task, one critical problem of CNNs is paradox model complexity and performance. This paper presents a novel SurroundNet that only involves less than 150K parameters (about 80–98 percent size reduction compared to SOTAs) achieves very competitive The proposed network comprises several Ad...

Resumen. Una de las principales dificultades para una correcta captura de imágenes subacuáticas utilizando medios electrónicos (cámara fotográfica o de video), se presenta en el mismo ambiente subacuático en donde la iluminación y el tono de la fuente de luz cambian dependiendo de la profundidad del escenario para la captura de la imagen, esto debido a las diferentes longitudes de onda que se l...

Low-visibility conditions for navigation of vehicles are a frequent occurrence. Driving at night, in blizzards, in sand storms, or in fog form an obvious set of challenging conditions. Remote operation of unmanned vehicles through a camera image provides a similar difficulty. Gathering intelligence from satellite imagery can similarly benefit from improved visibility. Advanced image processing ...

The advancement of non-linear processing methods for generic automatic clarification of turbid imagery has led us from extensions of entirely passive multiscale Retinex processing to a new framework of active measurement and control of the enhancement process called the Visual Servo. In the process of testing this new non-linear computational scheme, we have identified that feature visibility l...

Many different descriptions of Retinex methods of lightness computation exist. We provide concise MATLABTM implementations of two of the spatial techniques of making pixel comparisons. The code is presented, along with test results on several images and a discussion of the results. We also discuss the calibration of input images and the postRetinex processing required to display the output imag...