‹ Retinex Algorithm – Process of estimating the per-pixel gains necessary to achieve dynamic range compression in the original image ‹ Extension – Suppress artifacts – Reduce the number of iterations Abstract 4 / 29 ‹ High Dynamic Range – More accurate rendition of the original image – Realistically converted to a low resolution ‹ Retinex theory – Illuminant estimation, gamut mapping and HDR im...

A tone mapping algorithm for displaying high contrast scenes was designed on the basis of the results of experimental tests using human subjects. Systematic perceptual evaluation of several existing tone mapping techniques revealed that the most “natural” appearance was determined by the presence in the output image of detailed scenery features often made visible by limiting contrast and by pro...

Color images provide large information for human visual perception compared to grayscale images. Color image enhancement methods enhance the visual data to increase the clarity of the color image. It increases human perception of information. Different color image contrast enhancement methods are used to increase the contrast of the color images. The Retinex algorithms enhance the color images ...

Retinex theory deals with the removal of unfavorable illumination effects from images. This ill-posed inverse problem is typically regularized by forcing spatial smoothness on the recoverable illumination. Recent work in this field suggested exploiting the knowledge that the illumination image bounds the image from above, and the fact that the reflectance is also expected to be smooth. In this ...

A Concealed Weapon Detection (CWD) had been developed by a large number of researchers and technologies. As a result of the weakness of the infrared images in unique altogether graphic items, infrared and MMW images become inaccurate and insufficient to obviously detectand deal withweaponry objectsin an invisible setting. This article uses Multi Scale Retinex and contrast stretching image proce...

Mobile change detection systems allow for acquiring image sequences on a route of interest at different time points and display changes on a monitor. For the display of color images, a processing approach is required to enhance details, to reduce lightness/color inconsistencies along each image sequence as well as between corresponding image sequences due to the different illumination condition...

The multiscale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. A number of algorithms exist that provide one or more of these features, but not all. In this paper we compare the performance of the MSRCR with techniques that are widely...

Retinex is an image restoration method that can restore the image’s original appearance. The Retinex algorithm utilizes a Gaussian blur convolution with large kernel size to compute the center/surround information. Then a log-domain processing between the original image and the center/surround information is performed pixel-wise. The final step of the Retinex algorithm is to normalize the resul...

Our goal is to specify the retinex model as precisely as possible. The core retinex computation is clearly specified in the recent MATLAB implementation; however, there remain several free parameters which introduce significant variability into the model’s predictions. In this paper, we extend previous work on specifying these parameters. In particular, instead of looking for fixed values for t...