| Summary: | 碩士 === 逢甲大學 === 通訊工程所 === 98 === Color-to-gray conversion in many applications requires preserving the visual
appearance and feature discrimination of color images. The existing methods are still
need of improvement in this aspect. We propose two color-to-gray conversion
algorithms. One is the global mapping based and the other is the local-global mapping
based. The proposed methods convert accurately various categories of color images to
grayscale images, including natural images, computational images, and painting images.
The global mapping scheme is simple and fast, yet it preserves feature discrimination
and appropriate color order of color images. The local-global mapping scheme not only
retains the visual appearance of the color image but also compensates the global
mapping method for possible loss of color information. Experimental results show that
the proposed methods produced perceptually accurate and preferred images when they
were compared with other schemes.
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