Abstract
In this study, we present a method of chroma enhancement in the CIELAB color space and compare it with that in the RGB color space. Color image enhancement using the CIELAB color space has the disadvantage that the color gamut problem occurs because the conversion to the RGB color space is necessary to display the image. However, since the CIELAB color space is based on human visual perception, the quality of the resulting images is expected to be higher than that of the RGB color space. In the method using the CIELAB color space, we introduce a lookup table to reduce the calculation costs. Experiments comparing image enhancement results obtained from two color spaces are performed using several digital images.
Highlights
Color digital images have been used in various situations in daily life due to the development of digital devices and Internet technologies
When image enhancement is conducted in the CIELAB color space, some pixels of the enhanced image may not be correctly converted into the RGB color space
We proposed a method of chroma enhancement in the CIELAB color space, which incorporates a lookup table and compared it with that in the RGB color space
Summary
Color digital images have been used in various situations in daily life due to the development of digital devices and Internet technologies. The three attributes of color (i.e., hue, chroma, and lightness) are more useful when specifying a certain color based on human sensitivities than the RGB components [4]. The relationship between hue, chroma, and lightness is easy to formulate, and the algorithm for color image enhancement can be expressed Since these attributes defined in the RGB color space are not based on human visual perception as in uniform color spaces, the quality of the resulting images may not be sufficient. In our previous method [22], a color gamut adjustment is applied to address the problem that may occur when inversely converting processed color components in the CIELAB color space to the RGB color space.
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