Semi-Invariant Reversible Mapping from Color to Gray

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Abstract:

This paper proposes a reversible algorithm to convert color images to gray images while keeping chroma and spatial resolution. The original method of Braun and de Queiroz [Ref. 5] had theoretical problems such as deterioration in both chroma and spatial resolution. The authors describe a solution for these problems by devising a color embedding technique. A semi-invariant algorithm for chroma and spatial resolution can be realized by replacing a subband of the luminance component with the quantized high-pass luminance and chrominance signals. Experimental results show that the proposed algorithm can recover vivid color images from the textured gray images of the original color images, while keeping spatial resolution. Furthermore, the ability of color recovery from coded gray images is evaluated from the point of view of image coding using JPEG and JPEG2000.

Document Type: Research Article

DOI: http://dx.doi.org/10.2352/J.ImagingSci.Technol.(2008)52:4(040903)

Affiliations: Graduate School of Advanced Integration Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan

Publication date: July 1, 2008

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.
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