Title :
Adaptive demosaicking with improved edge detection
Author :
Sen Wang ; Lin, Fuhuei
Author_Institution :
Sch. of Microelectron., Shanghai Jiao Tong Univ., Shanghai
Abstract :
To reconstruct image down-sampled by color filter array on sensor of digital camera, demosaicking, a process of estimating missing color values is required. An improved edge adaptive color demosaicking method is presented. Edges are detected by an improved edge indicator, and missing color values are estimated in chosen direction. In estimation stage, weighted average of Taylor series is adopted. Experimental results show that the proposed scheme with a good balance between memory size and computational complexity not only outperforms other existed methods in subjective visual quality but also in terms of peak signal-to-noise ratio (PSNR) with 1.8 dB improvement on the average over testing images.
Keywords :
cameras; edge detection; image colour analysis; image reconstruction; image segmentation; Taylor series; adaptive color demosaicking method; color filter array; digital camera; edge detection; image reconstruction; Color; Computational complexity; Digital cameras; Digital filters; Image edge detection; Image reconstruction; Image sensors; PSNR; Sensor arrays; Taylor series; Taylor series; adaptive demosaicking; edge indicator; weighted average;
Conference_Titel :
Imaging Systems and Techniques, 2009. IST '09. IEEE International Workshop on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3482-4
Electronic_ISBN :
978-1-4244-3483-1
DOI :
10.1109/IST.2009.5071632