title: Demosaicing of color filter array captured images using gradient edge detection masks and adaptive heterogeneity-projection.
abstract: Without demosaicing processing, this paper first proposes a new approach to extract more accurate gradient/edge information on mosaic images directly. Next, based on spectral-spatial correlation, a novel adaptive heterogeneity-projection with proper mask size for each pixel is presented. Combining the extracted gradient/edge information and the adaptive heterogeneity-projection values, a new edge-sensing demosaicing algorithm is presented. Based on 24 popular testing images, experimental results demonstrated that our proposed high-quality demosaicing algorithm has the best image quality performance when compared with several recently published algorithms.
authors.affiliation: Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology No. 43, Taipei, Taiwan 10672, ROC. k.l.chung@mail.ntust.edu.tw
authors.forename: Kuo-Liang
authors.initials: KL
authors.lastname: Chung
authors.forename: Wei-Jen
authors.initials: WJ
authors.lastname: Yang
authors.forename: Wen-Ming
authors.initials: WM
authors.lastname: Yan
authors.forename: Chung-Chou
authors.initials: CC
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003116:Color; D003124:Colorimetry / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity