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    • 6. 发明授权
    • System and method for designing of dictionaries for sparse representation
    • 用于稀疏表示的词典设计系统和方法
    • US08165215B2
    • 2012-04-24
    • US11910568
    • 2006-04-04
    • Michal AharonMichael EladAlfred Bruckstein
    • Michal AharonMichael EladAlfred Bruckstein
    • H04N11/02
    • G06K9/6249H04N19/97
    • A signal processing system adapted for sparse representation of signals is provided, comprising: (i) one or more training signals; (ii) a dictionary containing signal-atoms; (iii) a representation of each training signal using a linear combination of said dictionary's signal-atoms; (iv) means for updating the representation of the training signal; (v) means for updating the dictionary one group of atoms at a time, wherein each atom update may include all representations referring to said updated atom; and (vi) means for iterating (iv) and (v) until a stopping rule is fulfilled. The system uses the K-SVD algorithm for designing dictionaries for sparse representation of signals.
    • 提供了适用于信号稀疏表示的信号处理系统,包括:(i)一个或多个训练信号; (ii)包含信号原子的字典; (iii)使用所述字典的信号原子的线性组合的每个训练信号的表示; (iv)用于更新训练信号的表示的装置; (v)用于一次更新字典一组原子的装置,其中每个原子更新可以包括引用所述更新的原子的所有表示; 和(vi)在满足停止规则之前迭代(iv)和(v)的手段。 该系统使用K-SVD算法设计信号稀疏表示的词典。
    • 8. 发明申请
    • METHOD AND SYSTEM FOR IMAGE RESTORATION IN THE SPATIAL DOMAIN
    • 用于空间域中图像恢复的方法和系统
    • US20100246952A1
    • 2010-09-30
    • US12745799
    • 2007-12-04
    • Ron BannerMichal AharonCarl Staelin
    • Ron BannerMichal AharonCarl Staelin
    • G06K9/40G06K9/00
    • G06T5/002G06T5/003G06T2207/20024G06T2207/20182
    • Method and system embodiments of the present invention are directed to restoration of corrupted images using spatial-domain image-processing methods that can effectively employ spatial-domain information both in order to avoid various types of artifacts and distortions produced by frequency-domain image-processing operations and to achieve computational efficiency. The various method and system embodiments of the present invention employ a family of penalty functions to constrain iterative restoration images corrupted by both deterministic corruptions, such as motion-induced blur and blurring due to optical misalignment, incorrect positioning of optical components, and defective optical components as well as essentially non-deterministic noise corruption introduced at various stages of image acquisition, image encoding, image storage, and image transmission.
    • 本发明的方法和系统实施例涉及使用可以有效地采用空间域信息的空间域图像处理方法来恢复损坏的图像,以便避免由频域图像处理产生的各种类型的假象和失真 操作和实现计算效率。 本发明的各种方法和系统实施例使用一系列惩罚函数来约束由确定性损坏所破坏的迭代恢复图像,例如由于光学偏移导致的运动引起的模糊和模糊,光学部件的不正确定位和有缺陷的光学部件 以及在图像采集,图像编码,图像存储和图像传输的各个阶段引入的基本上非确定性的噪声损坏。