Experiments on the White Patch Retinex in RGB and CIELAB color spaces

RGB Color Spaces

Color Space Transformation from RGB to CIELAB Using Neural Networks

Transformations in digital color imaging from RGB to CIELAB are compared between conventional ICC profiles and a newly developed neural network model. The accuracy of the transformations are computed in terms of Delta E and a comparison is made between the ICC profile and a neural network implemented in MATLAB. The transformations are used to characterize and test the color response of an Epson...

compactifications and function spaces on weighted semigruops

chapter one is devoted to a moderate discussion on preliminaries, according to our requirements. chapter two which is based on our work in (24) is devoted introducting weighted semigroups (s, w), and studying some famous function spaces on them, especially the relations between go (s, w) and other function speces are invesigated. in fact this chapter is a complement to (32). one of the main fea...

Color spaces: from RGB to HSV

Sistemi Informativi LS 2 One image is worth 1,000 words… Undoubtedly, images are the most widespread MM data type, second only to text data Thus, it's not surprising that most efforts related to MMDB's have concentrated on images, in particular: Automatic extraction of features Similarity measures Indexing … Thus, let's move to see which are some basic features of images…

Visual Attention Simulation in RGB and HSV Color Spaces

In computer vision several methods are directly inspired by the human visual system. Visual attention is one of the main abilities a human eye uses to discover a new scene. This ability is based on the focus of attention principle, which enables to look at a particular point. The works presented in this paper describe how to simulate such an ability in computer vision. Color images are resample...