Hierarchic Clustering-Based Face Enhancement for Images Captured in Dark Fields

Electronics

Haoting Liu¹  Na Zheng¹  Zhiqiang Zhang² 

[1] Beijing Engineering Research Center of Industrial Spectrum Imaging, University of Science and Technology, Beijing 100083, China;School of Electronic and Electrical Engineering, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK;

关键词: hierarchic clustering;    image enhancement;    dark field;    image quality;    face recognition;   

DOI  :  10.3390/electronics10080936

来源: DOAJ

【 摘 要 】

A hierarchic clustering-based enhancement is proposed to solve the luminance compensation of face recognition in the dark field. First, the face image is divided into five levels by a clustering method. Second, the results above are mapped into three hierarchies according to the histogram thresholds. A low, a middle, and a high-intensity block are found. Third, two kinds of linear transforms are performed to the high and the low-intensity blocks. Finally, a center wrap function-based enhancement is carried out. Experiment results show our method can improve both the face recognition accuracy and image quality.

【 授权许可】

Unknown