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Book details Author: Mimi Love Pages: Rockport Publishers Language: English ISBN Description this book A comprehensive handbook of all the crucial information interior designers need to know on a daily basis.
If you want to download this book, click link in the last page 6. If you want to download this book Read Color, Space, and Style: You just clipped your first slide! Then, we decompose the covariance matrices using SVD algo- Then, they calculate the mean and standard deviations along each rithm[Konstantinides and Yao ], namely, of the three axes, and then scale and shift each pixel in the input image. Last, they transform pixel values to return to RGB space.
We employ U as a rotation matrix to erature. Their algorithm can detect and remove a color Last, we do a transformation as follows: cast in a digital image without any a priori knowledge of its seman- tic content. Another color correction method has been homogeneous coordinates of pixel points in RGB space for the developed by Schechner and Karpel for underwater imaging and result and target images respectively; Tsrc , Ttgt , Rsrc , Rtgt , Ssrc great improvement of scene contrast and color correction are ob- and Stgt denote the matrices of translation, rotation and scaling tained[Schechner and Karpel ].
Jia et al propose a color cor- derived from the source and target images separately. Here is their rection approach based on a Bayesian framework to recover a high- definitions: quality image by exploiting the tradeoff between exposure time and motion blur[Jia et al. An algorithm for the reverse processing of col- 0 0 0 1 orization is proposed by Gooch et al [Gooch et al.
For example, if the target image contains much sky, trees and other scene and the source image has more grass and a blue 50 marble handrail in it, then we can expect the global statistics-based 0 method to fail figure 3 c.
That is, source image with desired look fails to transfer its color characteristic to target green 0 0 red image. So some remedy are necessary.
Reinhard et al encountered the same problem. They devised a swatch-based method to resolve d Points cluster and fitting ellipsoid for the source image it. We formulate their approach and provide some parameters for more flexible user interaction.
Source im- green 0 0 red age a and target image b ; failed global transfer c ; rough masks f Points cluster and fitting ellipsoid for the result image of the source d and target e images; good result f.
Figure 2: Statistics-based color transfer in RGB color space. The Actually, our swatch-based transfer method is a simple operation.
Nat- urally we can select swatches as desired effects from one or more images. The two ellipsoids separately fit the intermediate images. Then, we compute the distances from each pixel points of source and target images in color space.
The fitting pixel in the intermediate images to the center of each fitting ellip- of ellipsoid extends the method of fitting ellipse in 2D space[Lee soid of target swatch data. We blend the pixels with same coordi- ] and involves computing the mean and the covariance matrix. The blending processing values and eigenvectors of the covariance matrix indicate the length can be expressed as a equation: and orientation of the three axes of the ellipsoid.
The transforma- tions act on all of the pixels in the target image and move them to m n appropriate positions in color space. Figure 3 f shows the result and the selection of swatches in the source and target images.
Theoretically, the number of swatch pairs is unlimited but two and three are enough for most pictures. Indeed two or three swatch pairs are efficient for calculation. The results shown here were all obtained using the sim- c d e ple transformation represented by Equation 1 and the combining formula Equation 2. In some cases, such as figure 3, the global transfer may fail because f g of the dissimilarity in composition between the source and target images.
Reinhard et al encountered the same condition. So we de- velop the swatch-based method to remedy this issue.
We make a formula and provide some parameters for more flexible user inter- action. Figure 3 f shows an approving result.
The source images a, spaces respectively. It is worth mention that the masks just c, h ; The results of our method operated in RGB space d, i ; The are marked roughly. Col- orization by example. In Rendering Techniques, — In this paper, we discuss a color transfer method that can borrow J IA , J.
In Eu- sion color space directly. Statistical anal- output images given suitable input images.