Optimal quantization of true-color images in MacAdam uniform color space

1998 ◽  
Author(s):  
Ilia M. Bockstein ◽  
Friedrich J. Firneis
Keyword(s):  
Color Space ◽  
Color Images ◽  
Optimal Quantization ◽  
True Color

Color Image Enhancement on YIQ Color Space

2014 ◽  
Vol 631-632 ◽  
pp. 478-481
Author(s):  
Feng Xiao ◽  
Shui Qing Miao ◽  
Li Guo
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Color Space ◽  
Histogram Equalization ◽  
Color Images ◽  
Experimental Results ◽  
Color Image Enhancement ◽  
True Color Image ◽  
Rgb Color Space ◽  
True Color

The three components of the color images enhance the images directly in the RGB color space, will cause distortion of the image. So our paper will convert true color image from RGB space to YIQ space, the holomorphic filtering and histogram equalization are executed on Y component to make the image enhancement, the Y component contains a lot of image information; finally, the image is converted from YIQ color space to RGB color space once again. Experimental results show that the approach which were proposed in the paper, Combined with the method of holomorphic filtering and histogram equalization to overcome the uneven illumination, the image is dark and other shortcomings to achieve satisfactory enhancement.

Automatic Defect Detection of Yarn-Dyed Fabrics Based on Energy Fusion and Local Binary Patterns

2012 ◽  
Vol 472-475 ◽  
pp. 3039-3042 ◽  
Author(s):  
Wen Yu Li ◽  
Long Di Cheng ◽  
Wen Liang Xue
Keyword(s):  
Defect Detection ◽  
Color Space ◽  
Local Binary Patterns ◽  
High Detection Rate ◽  
Energy Feature ◽  
Dyed Fabrics ◽  
Dyed Fabric ◽  
True Color ◽  
Real Time Application ◽  
Log Gabor

For the purpose of realizing fast and effective detection of defects of yarn-dyed fabric, and in consideration of the inherent characteristics of texture, i.e., color and structure, an approach for automatic defect detection is proposed in this paper. The image of yarn-dyed fabric to be enhanced is first converted from RGB true color space to L*a*b* color space. Then Log-gabor filters filter chromatic and brightness channels, and energy feature images are acquired after energy is fused between chromatic and brightness. Finally defects of yarn-dyed fabrics can be detected on the energy feature images using local binary patterns. The proposed method can detect colored and structural flaws. Experimental results for the defect detection from six kinds of yarn-dyed fabrics indicate that a high detection rate is achieved for the proposed method. It is fast enough to be possible for real-time application.

scholarly journals Influence of Luminance L* in the L*a*b* Color Space during Color Segmentation in Highly Saturated Color Images

2015 ◽  
Vol 102 (1) ◽  
pp. 21-31
Author(s):  
Rodolfo Alvarado-Cervantes ◽  
Edgardo M. Felipe-Riveron ◽  
Vladislav Khartchenko ◽  
Oleksiy Pogrebnyak
Keyword(s):  
Color Space ◽  
Color Images ◽  
Color Segmentation ◽  
Saturated Color

A novel secret image sharing scheme for true-color images with size constraint

2009 ◽  
Vol 179 (19) ◽  
pp. 3247-3254 ◽  
Author(s):  
Du-Shiau Tsai ◽  
Gwoboa Horng ◽  
Tzung-Her Chen ◽  
Yao-Te Huang
Keyword(s):  
Color Images ◽  
Secret Image Sharing ◽  
Secret Image ◽  
Image Sharing ◽  
Sharing Scheme ◽  
True Color ◽  
Secret Image Sharing Scheme

Estimation of Fractal Dimension in Different Color Model

2018 ◽  
Vol 8 (1) ◽  
pp. 75-93
Author(s):  
Sumitra Kisan ◽  
Sarojananda Mishra ◽  
Ajay Chawda ◽  
Sanjay Nayak
Keyword(s):  
Fractal Dimension ◽  
Color Space ◽  
Vital Role ◽  
Color Images ◽  
Color Spaces ◽  
Fractal Surfaces ◽  
Test Operation ◽  
Novel Method ◽  
Rgb Color Space ◽  
Different Color

This article describes how the term fractal dimension (FD) plays a vital role in fractal geometry. It is a degree that distinguishes the complexity and the irregularity of fractals, denoting the amount of space filled up. There are many procedures to evaluate the dimension for fractal surfaces, like box count, differential box count, and the improved differential box count method. These methods are basically used for grey scale images. The authors' objective in this article is to estimate the fractal dimension of color images using different color models. The authors have proposed a novel method for the estimation in CMY and HSV color spaces. In order to achieve the result, they performed test operation by taking number of color images in RGB color space. The authors have presented their experimental results and discussed the issues that characterize the approach. At the end, the authors have concluded the article with the analysis of calculated FDs for images with different color space.

Digital watermarking for color images in hue-saturation-value color space

2014 ◽  
Vol 23 (3) ◽  
pp. 033009 ◽  
Author(s):  
Suwat Tachaphetpiboon ◽  
Kharittha Thongkor ◽  
Thumrongrat Amornraksa ◽  
Edward J. Delp
Keyword(s):  
Digital Watermarking ◽  
Color Space ◽  
Color Images
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