Title :
Demosaicing According to Edge Information Based on Frequency Band Partition
Author :
Iwamnura, Shunsuke ; Ikehara, Masaaki ; Ikenaga, Kenichi
Author_Institution :
Dept. of EEE, Keio Univ, Yokohama
Abstract :
In this paper, we propose a new demosaicing method that interpolates RAW images in a Bayer pattern. We firstly apply a wavelet transform to a rotated G-channel of Bayer pattern. Then, according to the high frequency energy, Sobel operator and 2D FFT (fast Fourier transform) are performed parallelly as edge-classifiers. Missing samples are interpolated along the estimated edge direction. In both subjective and objective evaluations, the proposed demosaicing algorithm show better results than those of conventional methods.
Keywords :
edge detection; fast Fourier transforms; image segmentation; wavelet transforms; Bayer pattern; RAW image interpolation; Sobel operator; edge information; fast fourier transform; frequency band partition; image demosaicing; rotated G-channel; wavelet transform; CMOS image sensors; Charge-coupled image sensors; Color; Fast Fourier transforms; Frequency; Image edge detection; Image reconstruction; Interpolation; Sensor arrays; Wavelet transforms; Bayer array; Demosaicing; FFT; Sobel operator; frequency band partition;
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
DOI :
10.1109/DSP.2009.4785983