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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper tackles the problem of blind image deconvolution and proposes an alternative approach to the commonly employed coarse-to-fine scheme in existing state-of-the-art methods. Instead of performing kernel estimation at different resolution scales, the authors suggest to apply Gaussian blur of various widths to yield different scales, each of which accentuates complementary image features. Kernel estimation at all scales is performed simultaneously rather than successively such that kernel information revealed in different scales can be combined in the estimation process. The weights that determine how much information each scale contributes to kernel estimation are chosen adaptively.