title: Image restoration in singular vector space by the method of convex projections.
abstract: In singular vector space produced by singular value decomposition, the effect of noise on the expansion coefficients of an object is clear. A new image restoration method estimates the expansion coefficients corrupted by noise from the expansion coefficients corresponding to large singular values by incorporating a priori information about the noise and the object. This information can be described as closed convex sets. Iterative projections onto the convex sets are performed to obtain a restored image. The effectiveness of the method in singular vector space is made clear through computer simulations for 2-D bandlimited degraded images.
authors.forename: O
authors.initials: O
authors.lastname: Sasaki
authors.forename: T
authors.initials: T
authors.lastname: Yamagami