Colorization Based on lαβ Color Space
Date Issued
2007
Date
2007
Author(s)
Lin, Zen-Wen
DOI
zh-TW
Abstract
We take advantage of the uncorrelated lαβcolor space to accomplish colorization of grayscale images. Even though the problem of adding chromatic values to a grayscale image has no exact solution, our approach attempts to provide a method to minimize the amount of human labor required for this task. Instead of choosing RGB colors from a palette to color individual components, we propose a segmentation-based color transferring method to deliver entire color mood to target images by matching luminance and texture information between the images. With a novel time-saving image segmentation procedure and an effective color-matching method for grayscale images, we get substantially speed-up and make it possible to be used in video processing applications.
Subjects
lαβ色彩空間
灰階影像
灰階影像上色
影像分割
色彩轉移
lαβcolor space
colorization
grayscale images
segmentation
Type
thesis
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