Underwater images often suffer from low contrast, visibility, and color deviation. In this work, we propose a hybrid underwater enhancement method consisting of addressing an inverse problem with novel Retinex transmission map estimation adaptive correction. does not rely on channel priors aims to decouple the unknown background light, thus avoiding error accumulation problem. To end, global wh...

Magnetic resonance imaging, or MRI, is a way of obtaining very detailed images of organs and tissues throughout the body without the need for x-rays or "ionizing" radiation. Instead, MRI uses a powerful magnetic field, radio waves, rapidly changing magnetic fields, and a computer to create images that show whether or not there is an injury, disease process, or abnormal condition present. A new ...

In this paper, a new image processing model based on Retinex technique and multi-resolution wavelet analysis together to simulate the imaging course and focus mechanism of HSV is proposed. At first, the image presentation based on the Retinex model of the lightness and colour perception of human vision, which is related to the neuropsychological functions of individual neurons in the primate re...

The purpose of this research is to propose an effective color metric which can predict the perceptual image quality for Retinex method. In this paper, we first give a brief introduction of three kinds of typical single Retinex methods to improve the color reproduction. And then, we state the process for obtaining the observer rating value from the subjective evaluation experiment performed unde...

Capturing and rendering an image that fulfills the observer’s expectations is a difficult task. This is due to the fact that the signal reaching the eye is processed by a complex mechanism before forming a percept, whereas a capturing device only retains the physical value of light intensities. It is especially difficult to render complex scenes with highly varying luminances. For example, a pi...

In this paper the use of Random Sprays Retinex (RSR) algorithm for global illumination estimation is proposed and its feasibility tested. Like other algorithms based on the Retinex model, RSR also provides local illumination estimation and brightness adjustment for each pixel and it is faster than other path-wise Retinex algorithms. As the assumption of the uniform illumination holds in many ca...

The original presentation of Retinex, a spatial color correction and image enhancement algorithm modeling the human vision system, as proposed by Land and McCann in 1964, uses paths to explore the image in search of a local reference white point. The interesting results of this algorithm have led to the development of many versions of Retinex. They follow the same principle but differ in the wa...

In order to change the defects of the similar traditional Retinex algorithm that it is easy to appear the "Halo" phenomenon in the illumination image acquisition process, we proposed a study on the face images recognition under the illumination condition based on the improved Retinex Algorithm, which is based on the Retinex Theory Algorithm defects and analyzes the brightness, contrast rate of ...

As the dynamic range of a digital camera is narrower than that of a real scene, the captured image requires a tone curve or contrast correction to reproduce the information in dark regions. Yet, when using a global correction method, such as histogrambased methods and gamma correction, an unintended contrast enhancement in bright regions can result. Thus, a multiscale retinex algorithm using Ga...

Recently, we have discussed the use of GIMP Retinex, a filter of the GNU Image Manipulation Program, for enhancing images in several applications, ranging from those obtained by microscopes to the images coming from satellites. Retinex can also enhance foggy images: here we investigate the role of GIMP filter in their thresholding for binarization.