Colors are important for human communicating with the daily encountered objects as well as his species, these colors should be represented formally and numerically within a mathematical formula so it can be projected on device/ computer storage and applications, this mathematical representation is known as color model that can hold the color space, by the means of color’s primary components (Re...

In recent years, there have been many new algorithms proposed for the Bayer patterned image compression, of which the structure conversion method achieved significant improvement compared to other algorithms. Based on the previous work, this paper presents a novel algorithm for Bayer patterned image compression combining the 9/7 biorthogonal wavelet transform with lifting scheme and Set Partiti...

This paper proposed a method which combines color space with an improved frame differential method to remove the raindrops in color images, based on the study of the existing rain removal image restoration method of using Color space and frame difference method. First analyzes the characteristics of HSV color space, comparing with the RGB space only V channel is affected by rain on a rainy day ...

The group sparse representation (GSR) model combines local sparsity and nonlocal similarity in image processing, achieves excellent results. However, the traditional GSR all subsequent improved models convert RGB space of to YCbCr space, only extract Y (luminance) channel change color a gray for processing. As result, processing process cannot be loyal each channel, so repair effect is not idea...

The automatic extraction of road features from remote sensed images has been a topic of great interest within the photogrammetric and remote sensing communities for over 3 decades. Although various techniques have been reported in the literature, it is still challenging to efficiently extract the road details with the increasing of image resolution as well as the requirement for accurate and up...

Color Space Analysis for Iris Recognition by Matthew K. Monaco Master of Science in Electrical Engineering West Virginia University Arun A. Ross, Ph.D., Chair This thesis investigates issues related to the processing of multispectral and color infrared images of the iris. When utilizing the color bands of the electromagnetic spectrum, the eye color and the components of texture (luminosity and ...

A new effective algorithm for removing impulse noise from color images is proposed. First, a color image is transformed to the YCbCr color space that perfectly separates the intensity and color information. Next, outliers are detected using spatial relations between transformed image components. The detected noise pixels are replaced with the output of a modified vector median filter over a spa...

The goal of image segmentation in imaging science is to solve the problem of partitioning an image into smaller disjoint homogeneous regions that share similar attributes. The novel technique of the multiphase level set based on principal component analysis (PCA) with adaptively selecting dominant factors for color image segmentation in color spaces is studied here. And simultaneously, the fina...