title: Blind deconvolution: multiplicative iterative algorithm.
abstract: A new algorithm has been developed for performing blind deconvolution on degraded images. The algorithm naturally preserves the nonnegative constraint on the iterative solutions of blind deconvolution and can produce a restored image of high resolution. Furthermore, benefiting from the multiplicative form, the algorithm is free from the instability of numerical computation. Results of applying the algorithm to simulated and real degraded images are reported.
authors.affiliation: Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China. jlin.zhang@gmail.com
authors.forename: Jianlin
authors.initials: J
authors.lastname: Zhang
authors.forename: Qiheng
authors.initials: Q
authors.lastname: Zhang
authors.forename: Guangming
authors.initials: G
authors.lastname: He
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity