As an essential low-level computer vision task for remotely operated underwater robots and unmanned vehicles to detect understand the environment, image enhancement is facing challenges of light scattering, absorption, distortion. Instead using a specific imaging model mitigate degradation images, we propose end-to-end underwater-image-enhancement framework that combines fractional integral-bas...

In order to improve the image quality in fog, this paper presents a fog-image enhancement algorithm based on adaptive guided image filter Retinex theory. Firstly convert the image from the RGB color space to the HSV color space, Then, the luminance image is estimated by adaptive guided image filter, the saturation image is linearly stretched. Finally, the image is transformed back from HSV colo...

Haze removal has been a very challenging problem due to its ill-posedness, which is more ill-posed if the input data is only a single hazy image. In this paper, we present a new approach for removing haze from a single input image. The proposed method combines the model widely used to describe the formation of a haze image with the assumption in Retinex that an image is the product of the illum...

Images in real surface defect detection scenes often suffer from uneven illumination. Retinex-based image enhancement methods can effectively eliminate the interference caused by illumination and improve visual quality of such images. However, these loss defect-discriminative information a high computational burden. To address above issues, we propose joint-prior-based (JPUIE) method. Specifica...

As a part of the Symposium “Retinex at 40”, this paper recounts the research on capturing real-life scenes, calculating appearances and rendering sensations on film, and other limited dynamic-range media. It describes: the first patents, a hardware display used in Land’s Ives Medal Address in 1968, the first computer simulations using 20 by 24 pixel arrays, psychophysical experiments and comput...

An X-ray image enhancement algorithm based on AH (adaptive histogram) and MSR (Multi-scale Retinex) algorithm is proposed in this paper for the industrial X-ray image, which contrast is low, and the detail features is poor. Firstly, the contrast limited adaptive histogram equalization and neighborhood algorithm is used for the image. Then the mapping is built between the image and the detail sc...

Image enhancement is an important tool for processing image. There exits many enhancement algorithms, in which Retinex algorithm enhance details of an image and is widely used. Retinex algorithm can remove illumination but cannot maintain the range of reflectance, hence it is not essential for non-uniform illumination images. So to preserve naturalness along with enhancing the details we propos...

We present a comparison between two color equalization algorithms: Retinex, the famous model due to Land and McCann, and Automatic Color Equalization (ACE), a new algorithm recently presented by the authors. These two algorithms share a common approach to color equalization, but different computational models. We introduce the two models focusing on differences and common points. An analysis of...