Indonesian Journal of Electrical Engineering and Computer Science
Vol 18, No 3: June 2020

Automatic gray images colorization based on lab color space

Nidhal K. El Abbadi (university of kufa)
Eman Saleem Razaq (university of kufa)



Article Info

Publish Date
01 Jun 2020

Abstract

The colorization aim to transform a black and white image to a color image. This is a very hard  issue and usually requiring manual intervention by the user to produce high-quality images free of artifact. The public problem of inserting gradients color to a gray image has no accurate method. The proposed method is fully automatic method. We suggested to use reference color image to help transfer colors from reference image to gray image.  The reference image converted to  Lab color space, while the gray scale image normalized according to the lightness channel L. the gray image concatenate with both a, and b channels before converting to RGB image. The results were promised compared with other methods.

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