Efficient edge-preserving algorithm for color contrast enhancement with application to color image segmentation

• Published in: Journal of visual communication and image representation Vol. 19; no. 5; pp. 299 - 310
• Main Authors: Chung, Kuo-Liang, Yang, Wei-Jen, Yan, Wen-Ming
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.07.2008
• Subjects: CIE color model; Color contrast enhancement; Color edge detection; Color histogram moment; Color image segmentation; Color saturation and desaturation; Edge-preservation effect; Seed-based region growing approach; Color contrast enhancement; Edge-preservation effect; Color image segmentation; Color edge detection; Color saturation and desaturation; Color histogram moment; Seed-based region growing approach; CIE color model
• ISSN: 1047-3203; 1095-9076
• DOI: 10.1016/j.jvcir.2008.02.002

In this paper, a new and efficient edge-preserving algorithm is presented for color contrast enhancement in CIE Lu ′ v ′ color space. The proposed algorithm not only can enhance the color contrast as the previous algorithm does, but also has an edge-preservation effect. In addition, the spurious edge points occurred due to the color contrast enhancement can be well reduced using the proposed algorithm. This is the first edge-preserving algorithm for color contrast enhancement in color space. Furthermore, a novel color image segmentation algorithm is presented to justify the edge-preservation benefit of the proposed color contrast enhancement algorithm. Based on some real images, experimental results demonstrate the advantages of color contrast enhancement, edge-preservation effect, and segmentation result in our proposed algorithm.