Title :
Demosaicing of Color Filter Array Captured Images Using Gradient Edge Detection Masks and Adaptive Heterogeneity-Projection
Author :
Chung, Kuo-Liang ; Yang, Wei-Jen ; Yan, Wen-Ming ; Wang, Chung-Chou
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
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.
Keywords :
correlation methods; edge detection; gradient methods; image colour analysis; image segmentation; adaptive heterogeneity-projection; color filter array captured images; gradient edge detection masks; high-quality demosaicing algorithm; image quality; spectral-spatial correlation; Adaptive arrays; Adaptive filters; Color; Data mining; Digital cameras; Image edge detection; Image sensors; Interpolation; Iterative algorithms; Pixel; Adaptive heterogeneity projection; color filter array (CFA); color peak signal-to-noise ratio (CPSNR); demosaicing algorithm; digital cameras; luminance estimation; mosaic images; sobel operator; Algorithms; Artificial Intelligence; Color; Colorimetry; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2008.2005561
