Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Color gamut mapping and the printing of digital color images
ACM Transactions on Graphics (TOG)
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Video matting of complex scenes
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Colorization using optimization
ACM SIGGRAPH 2004 Papers
Colorization in YCbCr color space and its application to JPEG images
Pattern Recognition
Effective color space representation for wavelet based compression of HDR images
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Color Space Selection for Moving Shadow Elimination
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Color Traits Transfer to Grayscale Images
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
A palette-driven approach to image color transfer
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
| Hi-index | 0.00 |
There is no exact solution for colorization of grayscale images. In the initial work done [23], color traits transfer techniques to color grayscale images are proposed. The main focus of the techniques [23] is to minimise the human efforts needed in manually coloring the grayscale images. The human interaction is needed only to find a reference color image, then the job of transferring color traits from reference color image to grayscale image is done by proposed techniques. Here the techniques of color traits transfer to grayscale images are revisited with various color spaces as well as different sizes of pixel window. For the experimentation seven different color spaces are considered like RGB, Kekre's LUV, XYZ, YIQ, YUV, YCbCr and newly proposed YCbCg. The pixel window sizes used are total twelve ranging from window with size 1x2 to 4x2. So in all 84 different versions of color traits transfer to grayscale algorithms are tested over five different images for deciding the color space and pixel window size giving best quality of coloring. The experimental results gives that the YCbCr color space gives better coloring, and the pixel window of size 3x3 suits the best in all color spaces.