The retinex is a human perception-based image processing algorithm which provides color constancy and dynamic range compression. We have previously reported on a single-scale retinex (SSR) and shown that it can either achieve color/lightness rendition or dynamic range compression, but not both simultaneously. We now present a multi-scale retinex (MSR) which overcomes this limitation for most sc...

In order to improve the traffic visibility in haze weathers, a Retinex algorithm based on the changing scale for haze removal with a depth map is proposed. It requires the haze image dark channel prior treatment to obtain the estimated depth map. Then it is according to the depth map to calculate Retinex scales for different parts of a hazy image. Finally a single scale Retinex transform is per...

The Retinex is an image enhancement algorithm that improves the brightness, contrast and sharpness of an image. It performs a non-linear spatial/spectral transform that provides simultaneous dynamic range compression and color constancy. It has been used for a wide variety of applications ranging from aviation safety to general purpose photography. Many potential applications require the use of...

Images captured at night with low-light conditions frequently have a loss of visible details, inadequate contrast, low brightness, and noise. Therefore, it is difficult to perceive, extract, analyze important visual information from these images, unless they were properly processed. Different algorithms exist process nighttime yet most are highly complex, generate processing artifacts, over-smo...

Abstract—In this paper, an edge-strength guided multiscale retinex (EGMSR) approach will be proposed for color image contrast enhancement. In EGMSR, the pixel-dependent weight associated with each pixel in the single scale retinex output image is computed according to the edge strength around this pixel in order to prevent from over-enhancing the noises contained in the smooth dark/bright regio...

Sensations of color show a strong correlation with reflectance, even though the amount of visible light reaching the eye depends on the product of reflectance and illumination. The visual system must achieve this remarkable result by a scheme that does not measure flux. Such a scheme is described as the basis of Retinex theory. This paper deals with image enhancement techniques basically Retine...

A commonly problem of digital image processing systems that use video cameras for control navigation, as those used in cars or planes control, is that these systems depend on image contrast and the environmental pollution as fog, smog or rain. These environment characteristics, filters wavelengths of the light, which causes that the captured images, were modified by the video camera, decreasing...

This paper addresses the problem of wide dynamic range scenes and presents a new method of compressing the dynamic range of wide dynamic range scenes. This method is based on the Multiscale Retinex Algorithm. The paper presents the performance of the Multiscale Retinex Algorithm on wide dynamic range pictures. Two modifications that enhance the results obtained with the original Multi Scale Ret...

Tone mapping algorithms are used in image processing that reduces the range of high dynamic range (HDR) image to be displayed on low dynamic range (LDR) devices. The retinex method is one of the tone mapping algorithms to provide dynamic range compression, color constancy, and color rendition. It has been developed from single scale methods to multi-scale methods. Retinex algorithms still have ...

In this paper, we present a unifying framework for retinex that is able to reproduce many of the existing retinex implementations within a single model. The fundamental assumption, as shared with many retinex models, is that the observed image is a multiplication between the illumination and the true underlying reflectance of the object. Starting from Morel’s 2010 PDE model for retinex, where i...