Joint deconvolution and demosaicing

We present a new method to jointly perform deblurring and colordemosaicing of RGB images. Our method is derived following an inverse problem approach in a MAP framework. To avoid noise amplification and allow for interpolation of missing data, we make use of edge-preserving spatial regularization and spectral regularization. We demonstrate the improvements brought by our algorithm by processing both simulated and real RGB images obtained with a Bayer's color filter and with different types of blurring.

• Type: Journal
• Year: 2009
• Where: ICIP
• Authors: Ferréol Soulez, Eric Thiébaut
• Keywords: ICIP 2009, Image Processing, Inverse Problem Approach, Real Rgb Images, RGB Images