Color Restoration Algorithm Based on Color Instance Under Low Illumination | Zendy

Yutaka Hatakeyama | Zendy; Akimichi Mitsuta | Zendy; Kaoru Hirota | Zendy

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Color Restoration Algorithm Based on Color Instance Under Low Illumination

Author(s) -

Yutaka Hatakeyama,

Akimichi Mitsuta,

Kaoru Hirota

Publication year - 2007

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2007.p0445

Subject(s) - computer science , artificial intelligence , color correction , color normalization , computer vision , color balance , color difference , color quantization , color model , color histogram , color image , high color , color depth , icc profile , color space , algorithm , image (mathematics) , image processing , enhanced data rates for gsm evolution

Color restoration algorithm using color instance-based reasoning is proposed. The proposed system does not employ a physical model but color instance. The color instance, Color Change Vector, is defined based on distribution of color values for 175 color scheme cards taken under low and standard illuminations. Modification of CCV is proposed based on color value and linguistic expression. The given image is restored by adding the appropriate color instances for a given color value. A prototype system for color restoration is constructed. An experiment is done with dynamic images of an outdoor walking person, to evaluate the performance of the proposed system in terms of color-difference and processing time. The proposed method presents a foundation for identifying a person captured by a practical security system using a low cost CCD camera.

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