Adaptive image processing a computational intelligence perspective - Blind Image Deconvolution

We will again restrict the presentation of this chapter to the popular linear image degradation model: g = Hˆ + n f (7.1) where g, f and n are the lexicographically ordered degraded image, original image and additive white Gaussian noise (AWGN), respectively [21, 145]. H is the linear distortion operator determined by the point spread function (PSF), h. Blind image deconvolution is an inverse problem of rendering the best estimates, ˆ and h, to the original image and the blur based on the degradation model. ˆ f It is a difficult ill-posed problem as the uniqueness and stability of the solution is not guaranteed [24]. Classical restorations require complete knowledge of the blur to be known prior to restoration [21, 23, 145] as discussed in the previous chapters.

Từ khóa: Blind Image Deconvolution, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng