Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Considering a "target" image with complex scene, a novel method for regionally transferring colors from a set of "source" color images to the complex "target" image is presented. An improved EM (expectation-maximization) algorithm is first adopted to approximately model the regional color distribution of the target image by using Gaussian mixture model (GMM); trained by this target GMM, color pixels in each source image are then assigned into source regions corresponding to the target ones, and a color selection mechanism is proposed to choose the best- matched source colors for re-coloring each target region. A new image quality metric, colorfulness, is adopted for objective performance comparisons with previous methods. Experiments show that the proposed method can generate convincing results with ll performance.
['Yao Xiang', 'Beiji Zou', 'Hui Wang', 'Hong Li', 'Zheng Xie']
I am writing a research paper on a idea Multi-source color transfer for natural images
[{"from": "human", "value": "I am writing a research paper on a idea Multi-source color transfer for natural images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Considering a \"target\" image with complex scene, a novel method for regionally transferring colors from a set of \"source\" color images to the complex \"target\" image is presented. An improved EM (expectation-maximization) algorithm is first adopted to approximately model the regional color distribution of the target image by using Gaussian mixture model (GMM); trained by this target GMM, color pixels in each source image are then assigned into source regions corresponding to the target ones, and a color selection mechanism is proposed to choose the best- matched source colors for re-coloring each target region. A new image quality metric, colorfulness, is adopted for objective performance comparisons with previous methods. Experiments show that the proposed method can generate convincing results with ll performance."}]