Many different descriptions of retinex methods of lightness computation exist. This paper provides concise MATLAB 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. The paper also discusses the calibration of input images and the post-retinex processing required to display...

Existing dehazing methods based on the atmospheric scattering model improve image contrast and color fidelity at the cost of image brightness. We propose the use of transmission to combine the dehazing and retinex methods for visibility enhancement. The proposed method achieves both color fidelity and brightness without over saturation. Keywords—dehazing;retinex;image enhancement;

Underwater exploration has become an active research area over the past few decades. The image enhancement is one of the challenges for those computer vision based underwater researches because of the degradation of the images in the underwater environment. The scattering and absorption are the main causes in the underwater environment to make the images decrease their visibility, for example, ...

We study the influence of the choice of color space for local tone mapping methods. Many local tone mapping methods do not perform well when applied independently to the three color channels of an RGB image. A common solution is to only treat the luminance channel. However, the question of which color space provides the most suitable luminance definition has not been addressed. The correlation ...

Color constancy is a feature of the human color perception system which ensures that the perceived color of objects remains relatively constant under varying illumination conditions, and therefore closer to the physical reflectance. This perceptual effect, discovered by Helmholtz, was formalized by Land and McCann in 1971, who formulated the Retinex theory. Several theories have ever since been...

The face recognition is popular in video surveillance, social networks and criminal identifications nowadays. The performance of face recognition would be affected by variations in illumination, pose, aging and partial occlusion of face by Wearing Hats, scarves and glasses etc. The illumination variations are still the challenging problem in face recognition. The aim is to compare the various i...

The face recognition is popular in video surveillance, social networks and criminal identifications nowadays. The performance of face recognition would be affected by variations in illumination, pose, aging and partial occlusion of face by Wearing Hats, scarves and glasses etc. The illumination variations are still the challenging problem in face recognition. The aim is to compare the various i...

R. Nivedha PG Student / ECE Kings College of Engineering, Punalkulam Thanjavur, Tamil Nadu Email:[email protected] W. Newton David Raj M.Tech., Assistant Professor / ECE Kings College of Engineering, Punalkulam Thanjavur, Tamil Nadu Email: [email protected] -------------------------------------------------------------------ABSTRACT--------------------------------------------------...