Turkish Journal of Electrical Engineering and Computer Sciences

Multi-Channel Blind Image Restoration




Images may be degraded for many reasons. For example, out-of-focus optics produce blurred images, and variations in electronic imaging components introduce noise. Reducing blur and noise in images is known as image restoration. In this paper, we first highlight methods for image restoration and then discuss methods for image restoration given multiple degraded copies (multiple channels) of the same original image. We focus on the blind case in which the blurring functions are unknown. We review several recently proposed algorithms for multichannel blind image restoration and present a new technique based on subspace decomposition.

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