Color Transfer Method Research Articles

Example‐based Multiple Local Color Transfer by Strokes

AbstractThis paper investigates a new approach for color transfer. Rather than transferring color from one image to another globally, we propose a system with a stroke‐based user interface to provide a direct indication mechanism. We further present a multiple local color transfer method. Through our system the user can easily enhance a defect (source) photo by referring to some other good quality (target) images by simply drawing some strokes. Then, the system will perform the multiple local color transfer automatically. The system consists of two major steps. First, the user draws some strokes on the source and target images to indicate corresponding regions and also the regions he or she wants to preserve. The regions to be preserved which will be masked out based on an improved graph cuts algorithm. Second, a multiple local color transfer method is presented to transfer the color from the target image(s) to the source image through gradient‐guided pixel‐wise color transfer functions. Finally, the defect (source) image can be enhanced seamlessly by multiple local color transfer based on some good quality (target) examples through an interactive and intuitive stroke‐based user interface.

An efficient PCA-based color transfer method

Color information of natural images can be considered as a highly correlated vector space. Many different color spaces have been proposed in the literature with different motivations toward modeling and analysis of this stochastic field. Recently, color transfer among different images has been under investigation. Color transferring consists of two major categories: colorizing grayscale images and recoloring colored images. The literature contains a few color transfer methods that rely on some standard color spaces. In this paper, taking advantages of the principal component analysis (PCA), we propose a unifying framework for both mentioned problems. The experimental results show the efficiency of the proposed method. The performance comparison of the proposed method is also given.

Color transfer based remote sensing image fusion using non-separable wavelet frame transform

In order to fuse two registered high spatial resolution panchromatic image and low spatial resolution multispectral image of the same scene, we proposed a new color transfer based fusion algorithm by using the non-separable wavelet frame transform (NWFT). Three bands are selected from the source multispectral image as the channels to be fused. A grayscale image is obtained by averaging these three bands. Histogram matching is performed on the source panchromatic image to obtain a new panchromatic image with a uniform histogram as the grayscale image acquired from the source multispectral image. The histogram matched panchromatic image is decomposed by the NWFT. The lowest frequency subband of the NWFT coefficients is substituted by the grayscale image acquired from the source multispectral image in order to produce the composite NWFT coefficients. A composite image is obtained by performing the inverse NWFT transform on the combined coefficients. Three bands selected from the source multispectral image are mapped into the RGB (red–green–blue) color space. The color information (strictly speaking, it is the spectral information of the source multispectral image) is transferred into the composite image by using a color transfer method in order to get the finally fused image. Experiment results show that the proposed algorithm works well in remote sensing image fusion.